experiment: validate 5gnidd beta selection at alpha 0.75

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willtanoe committed 2026-09-29 23:56:12 +07:00
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@@ -0,0 +1,293 @@
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dataset,alpha,seed,same_manifest_content_hash,round0_snapshot_sha256_original,round0_snapshot_sha256_beta0,round0_snapshot_byte_identical,support_char_rare_identical,aggregation_max_abs_diff,history_rare_f1_round0_diff,history_rare_f1_max_diff_rounds_ge1,test_metric_max_abs_diff,classification
5gnidd,0.75,0,True,266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b,266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b,True,True,4.440892098500626e-16,0.0,0.03222927933218078,0.0052219504932764504,B
5gnidd,0.75,1,True,acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0,acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0,True,True,4.440892098500626e-16,0.0,0.05039883148565938,0.005315440515630376,B
5gnidd,0.75,2,True,ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46,ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46,True,True,4.440892098500626e-16,0.0,0.027157142841089277,0.0002735042735044768,B
1 dataset alpha seed same_manifest_content_hash round0_snapshot_sha256_original round0_snapshot_sha256_beta0 round0_snapshot_byte_identical support_char_rare_identical aggregation_max_abs_diff history_rare_f1_round0_diff history_rare_f1_max_diff_rounds_ge1 test_metric_max_abs_diff classification
2 5gnidd 0.75 0 True 266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b 266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b True True 4.440892098500626e-16 0.0 0.03222927933218078 0.0052219504932764504 B
3 5gnidd 0.75 1 True acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0 acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0 True True 4.440892098500626e-16 0.0 0.05039883148565938 0.005315440515630376 B
4 5gnidd 0.75 2 True ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46 ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46 True True 4.440892098500626e-16 0.0 0.027157142841089277 0.0002735042735044768 B
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0,0.0,5,7163,0.5428571428571429,1.0
0,0.0,6,13112,0.9715745058849656,0.9957983193277311
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0,0.25,1,11240,0.91286079649251,0.9230769230769231
0,0.25,2,6031,0.8971807628524047,0.9375
0,0.25,3,17180,0.9207238482772924,0.9906710405156538
0,0.25,4,7312,0.8485778926955397,0.996875
0,0.25,5,7163,0.4285714285714286,1.0
0,0.25,6,13112,0.9766136996139689,0.9957983193277311
0,0.25,7,8677,0.6071428571428571,0.85
0,0.25,8,26805,0.8337995337995338,1.0
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0,0.75,5,7163,0.41666666666666663,1.0
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0,0.75,7,8677,0.6071428571428571,0.85
0,0.75,8,26805,0.7809426229508196,1.0
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0,1.0,1,11240,0.8944326018808778,0.9199519230769231
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0,1.0,5,7163,0.3958333333333333,1.0
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0,1.0,9,11742,0.9375,1.0
1,0.0,0,14895,0.7727272727272727,0.85
1,0.0,1,17368,0.24309553608677514,0.9886363636363636
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1,0.0,4,3411,0.8953886693017128,0.9367816091954023
1,0.0,5,4300,0.915129151291513,0.8671328671328671
1,0.0,6,6364,0.768705825006093,0.9973118279569892
1,0.0,7,13174,0.9606185199392718,0.9268429487179487
1,0.0,8,25339,0.7333333333333334,1.0
1,0.0,9,3982,0.9686585995297357,0.9954545454545455
1,0.25,0,14895,0.7906976744186046,0.85
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1,0.25,2,7695,0.8304093567251462,1.0
1,0.25,3,25061,0.708301518817328,0.8518369175627241
1,0.25,4,3411,0.9367965367965367,0.9367816091954023
1,0.25,5,4300,0.915129151291513,0.8671328671328671
1,0.25,6,6364,0.8709785522788203,0.9973118279569892
1,0.25,7,13174,0.9606185199392718,0.9268429487179487
1,0.25,8,25339,0.8888888888888888,1.0
1,0.25,9,3982,0.9969604863221885,0.9954545454545455
1,0.5,0,14895,0.7555555555555556,0.85
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1,0.75,0,14895,0.7555555555555556,0.85
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1,1.0,8,25339,1.0,1.0
1,1.0,9,3982,0.9969604863221885,0.9954545454545455
2,0.0,0,2160,0.9785801713586291,0.9589201877934272
2,0.0,1,11074,0.7650462962962963,1.0
2,0.0,2,4061,0.6128830519074422,1.0
2,0.0,3,36103,0.31767644215275537,0.9583333333333333
2,0.0,4,7053,0.7423780487804879,0.9098837209302326
2,0.0,5,12565,1.0,1.0
2,0.0,6,27044,0.48315106250555706,0.9134615384615384
2,0.0,7,10306,0.5542735042735043,1.0
2,0.0,8,3839,1.0,1.0
2,0.0,9,7384,0.9041344294003868,1.0
2,0.25,0,2160,0.9747536945812808,0.9524647887323944
2,0.25,1,11074,0.7544642857142858,1.0
2,0.25,2,4061,0.5902857142857142,1.0
2,0.25,3,36103,0.2954654592851753,0.9583333333333333
2,0.25,4,7053,0.7253103076092822,0.9098837209302326
2,0.25,5,12565,1.0,1.0
2,0.25,6,27044,0.4700255102040816,0.9134615384615384
2,0.25,7,10306,0.5542735042735043,1.0
2,0.25,8,3839,1.0,1.0
2,0.25,9,7384,0.9041344294003868,1.0
2,0.5,0,2160,0.9740740740740741,0.9507042253521127
2,0.5,1,11074,0.78875,1.0
2,0.5,2,4061,0.6338854382332643,1.0
2,0.5,3,36103,0.3122966818477554,0.9583333333333333
2,0.5,4,7053,0.764525993883792,0.9098837209302326
2,0.5,5,12565,1.0,1.0
2,0.5,6,27044,0.4842300556586271,0.9134615384615384
2,0.5,7,10306,0.5542735042735043,1.0
2,0.5,8,3839,1.0,1.0
2,0.5,9,7384,0.9041344294003868,1.0
2,0.75,0,2160,0.9727722772277227,0.948356807511737
2,0.75,1,11074,0.7040441176470589,1.0
2,0.75,2,4061,0.5907462686567163,1.0
2,0.75,3,36103,0.2992682926829268,0.9583333333333333
2,0.75,4,7053,0.6624579124579125,0.9098837209302326
2,0.75,5,12565,1.0,1.0
2,0.75,6,27044,0.4757201646090535,0.9134615384615384
2,0.75,7,10306,0.5575414781297134,1.0
2,0.75,8,3839,1.0,1.0
2,0.75,9,7384,0.9041344294003868,1.0
2,1.0,0,2160,0.9714640198511166,0.9460093896713615
2,1.0,1,11074,0.78875,1.0
2,1.0,2,4061,0.6399147727272727,1.0
2,1.0,3,36103,0.3259778470058844,0.9583333333333333
2,1.0,4,7053,0.7800127713920818,0.9098837209302326
2,1.0,5,12565,1.0,1.0
2,1.0,6,27044,0.48224043715847,0.9134615384615384
2,1.0,7,10306,0.5542735042735043,1.0
2,1.0,8,3839,1.0,1.0
2,1.0,9,7384,0.9041344294003868,1.0
1 seed beta client_id n_samples val_rare_macro_f1 val_rare_recall
2 0 0.0 0 12327 0.8606265022873536 0.947682119205298
3 0 0.0 1 11240 0.9111203513604824 0.9230769230769231
4 0 0.0 2 6031 0.8971807628524047 0.9375
5 0 0.0 3 17180 0.918207728507987 0.9906710405156538
6 0 0.0 4 7312 0.856895485466914 0.996875
7 0 0.0 5 7163 0.5428571428571429 1.0
8 0 0.0 6 13112 0.9715745058849656 0.9957983193277311
9 0 0.0 7 8677 0.6296296296296295 0.85
10 0 0.0 8 26805 0.8355462380619614 1.0
11 0 0.0 9 11742 0.9231738035264484 1.0
12 0 0.25 0 12327 0.8830933772110242 0.9463576158940397
13 0 0.25 1 11240 0.91286079649251 0.9230769230769231
14 0 0.25 2 6031 0.8971807628524047 0.9375
15 0 0.25 3 17180 0.9207238482772924 0.9906710405156538
16 0 0.25 4 7312 0.8485778926955397 0.996875
17 0 0.25 5 7163 0.4285714285714286 1.0
18 0 0.25 6 13112 0.9766136996139689 0.9957983193277311
19 0 0.25 7 8677 0.6071428571428571 0.85
20 0 0.25 8 26805 0.8337995337995338 1.0
21 0 0.25 9 11742 0.9253164556962026 1.0
22 0 0.5 0 12327 0.9349765258215963 0.9403973509933774
23 0 0.5 1 11240 0.902514234533939 0.9199519230769231
24 0 0.5 2 6031 0.9527363184079602 0.9375
25 0 0.5 3 17180 0.9247795111104462 0.9906710405156538
26 0 0.5 4 7312 0.8540456516403501 0.996875
27 0 0.5 5 7163 0.5111111111111111 1.0
28 0 0.5 6 13112 0.9694825298540469 0.9957983193277311
29 0 0.5 7 8677 0.5862068965517242 0.85
30 0 0.5 8 26805 0.8012931034482759 1.0
31 0 0.5 9 11742 0.9307692307692308 1.0
32 0 0.75 0 12327 0.9416666666666667 0.9529801324503311
33 0 0.75 1 11240 0.9092209836236164 0.9199519230769231
34 0 0.75 2 6031 0.8971807628524047 0.9375
35 0 0.75 3 17180 0.9258056133056132 0.9906710405156538
36 0 0.75 4 7312 0.8665233700004213 0.996875
37 0 0.75 5 7163 0.41666666666666663 1.0
38 0 0.75 6 13112 0.9674080598987007 0.9957983193277311
39 0 0.75 7 8677 0.6071428571428571 0.85
40 0 0.75 8 26805 0.7809426229508196 1.0
41 0 0.75 9 11742 0.9341085271317829 1.0
42 0 1.0 0 12327 0.9485532011847801 0.9668874172185431
43 0 1.0 1 11240 0.8944326018808778 0.9199519230769231
44 0 1.0 2 6031 0.8971807628524047 0.9375
45 0 1.0 3 17180 0.9278726887422539 0.9906710405156538
46 0 1.0 4 7312 0.8702452292915126 0.996875
47 0 1.0 5 7163 0.3958333333333333 1.0
48 0 1.0 6 13112 0.9529075228417727 0.9957983193277311
49 0 1.0 7 8677 0.5483870967741935 0.85
50 0 1.0 8 26805 0.784828441504754 1.0
51 0 1.0 9 11742 0.9375 1.0
52 1 0.0 0 14895 0.7727272727272727 0.85
53 1 0.0 1 17368 0.24309553608677514 0.9886363636363636
54 1 0.0 2 7695 0.6788942052099947 1.0
55 1 0.0 3 25061 0.701322693338224 0.851373954599761
56 1 0.0 4 3411 0.8953886693017128 0.9367816091954023
57 1 0.0 5 4300 0.915129151291513 0.8671328671328671
58 1 0.0 6 6364 0.768705825006093 0.9973118279569892
59 1 0.0 7 13174 0.9606185199392718 0.9268429487179487
60 1 0.0 8 25339 0.7333333333333334 1.0
61 1 0.0 9 3982 0.9686585995297357 0.9954545454545455
62 1 0.25 0 14895 0.7906976744186046 0.85
63 1 0.25 1 17368 0.31311581327733806 0.9886363636363636
64 1 0.25 2 7695 0.8304093567251462 1.0
65 1 0.25 3 25061 0.708301518817328 0.8518369175627241
66 1 0.25 4 3411 0.9367965367965367 0.9367816091954023
67 1 0.25 5 4300 0.915129151291513 0.8671328671328671
68 1 0.25 6 6364 0.8709785522788203 0.9973118279569892
69 1 0.25 7 13174 0.9606185199392718 0.9268429487179487
70 1 0.25 8 25339 0.8888888888888888 1.0
71 1 0.25 9 3982 0.9969604863221885 0.9954545454545455
72 1 0.5 0 14895 0.7555555555555556 0.85
73 1 0.5 1 17368 0.429930332261522 0.9886363636363636
74 1 0.5 2 7695 0.8970760233918129 1.0
75 1 0.5 3 25061 0.6917775442014682 0.852299880525687
76 1 0.5 4 3411 0.9396051103368176 0.9367816091954023
77 1 0.5 5 4300 0.911764705882353 0.8671328671328671
78 1 0.5 6 6364 0.9050694613697294 0.9973118279569892
79 1 0.5 7 13174 0.9606185199392718 0.9268429487179487
80 1 0.5 8 25339 1.0 1.0
81 1 0.5 9 3982 0.9969604863221885 0.9954545454545455
82 1 0.75 0 14895 0.7555555555555556 0.85
83 1 0.75 1 17368 0.40164336521952415 0.9886363636363636
84 1 0.75 2 7695 0.8333333333333333 1.0
85 1 0.75 3 25061 0.6791176529729948 0.8527628434886498
86 1 0.75 4 3411 0.9396051103368176 0.9367816091954023
87 1 0.75 5 4300 0.911764705882353 0.8671328671328671
88 1 0.75 6 6364 0.8872829001049073 0.9973118279569892
89 1 0.75 7 13174 0.9606185199392718 0.9268429487179487
90 1 0.75 8 25339 0.9666666666666667 1.0
91 1 0.75 9 3982 0.9969604863221885 0.9954545454545455
92 1 1.0 0 14895 0.7555555555555556 0.85
93 1 1.0 1 17368 0.3878205128205128 0.9886363636363636
94 1 1.0 2 7695 1.0 1.0
95 1 1.0 3 25061 0.6700994209381415 0.8536887694145758
96 1 1.0 4 3411 0.9367965367965367 0.9367816091954023
97 1 1.0 5 4300 0.911764705882353 0.8671328671328671
98 1 1.0 6 6364 0.9050694613697294 0.9973118279569892
99 1 1.0 7 13174 0.9606185199392718 0.9268429487179487
100 1 1.0 8 25339 1.0 1.0
101 1 1.0 9 3982 0.9969604863221885 0.9954545454545455
102 2 0.0 0 2160 0.9785801713586291 0.9589201877934272
103 2 0.0 1 11074 0.7650462962962963 1.0
104 2 0.0 2 4061 0.6128830519074422 1.0
105 2 0.0 3 36103 0.31767644215275537 0.9583333333333333
106 2 0.0 4 7053 0.7423780487804879 0.9098837209302326
107 2 0.0 5 12565 1.0 1.0
108 2 0.0 6 27044 0.48315106250555706 0.9134615384615384
109 2 0.0 7 10306 0.5542735042735043 1.0
110 2 0.0 8 3839 1.0 1.0
111 2 0.0 9 7384 0.9041344294003868 1.0
112 2 0.25 0 2160 0.9747536945812808 0.9524647887323944
113 2 0.25 1 11074 0.7544642857142858 1.0
114 2 0.25 2 4061 0.5902857142857142 1.0
115 2 0.25 3 36103 0.2954654592851753 0.9583333333333333
116 2 0.25 4 7053 0.7253103076092822 0.9098837209302326
117 2 0.25 5 12565 1.0 1.0
118 2 0.25 6 27044 0.4700255102040816 0.9134615384615384
119 2 0.25 7 10306 0.5542735042735043 1.0
120 2 0.25 8 3839 1.0 1.0
121 2 0.25 9 7384 0.9041344294003868 1.0
122 2 0.5 0 2160 0.9740740740740741 0.9507042253521127
123 2 0.5 1 11074 0.78875 1.0
124 2 0.5 2 4061 0.6338854382332643 1.0
125 2 0.5 3 36103 0.3122966818477554 0.9583333333333333
126 2 0.5 4 7053 0.764525993883792 0.9098837209302326
127 2 0.5 5 12565 1.0 1.0
128 2 0.5 6 27044 0.4842300556586271 0.9134615384615384
129 2 0.5 7 10306 0.5542735042735043 1.0
130 2 0.5 8 3839 1.0 1.0
131 2 0.5 9 7384 0.9041344294003868 1.0
132 2 0.75 0 2160 0.9727722772277227 0.948356807511737
133 2 0.75 1 11074 0.7040441176470589 1.0
134 2 0.75 2 4061 0.5907462686567163 1.0
135 2 0.75 3 36103 0.2992682926829268 0.9583333333333333
136 2 0.75 4 7053 0.6624579124579125 0.9098837209302326
137 2 0.75 5 12565 1.0 1.0
138 2 0.75 6 27044 0.4757201646090535 0.9134615384615384
139 2 0.75 7 10306 0.5575414781297134 1.0
140 2 0.75 8 3839 1.0 1.0
141 2 0.75 9 7384 0.9041344294003868 1.0
142 2 1.0 0 2160 0.9714640198511166 0.9460093896713615
143 2 1.0 1 11074 0.78875 1.0
144 2 1.0 2 4061 0.6399147727272727 1.0
145 2 1.0 3 36103 0.3259778470058844 0.9583333333333333
146 2 1.0 4 7053 0.7800127713920818 0.9098837209302326
147 2 1.0 5 12565 1.0 1.0
148 2 1.0 6 27044 0.48224043715847 0.9134615384615384
149 2 1.0 7 10306 0.5542735042735043 1.0
150 2 1.0 8 3839 1.0 1.0
151 2 1.0 9 7384 0.9041344294003868 1.0
@@ -0,0 +1,151 @@
seed,beta,client_id,min_positive_attack_Nij,val_rare_macro_f1,val_rare_recall,delta_vs_beta0
0,0.0,0,2,0.8606265022873536,0.947682119205298,0.0
0,0.0,1,26,0.9111203513604824,0.9230769230769231,0.0
0,0.0,2,50,0.8971807628524047,0.9375,0.0
0,0.0,3,363,0.918207728507987,0.9906710405156538,0.0
0,0.0,4,54,0.856895485466914,0.996875,0.0
0,0.0,5,143,0.5428571428571429,1.0,0.0
0,0.0,6,53,0.9715745058849656,0.9957983193277311,0.0
0,0.0,7,100,0.6296296296296295,0.85,0.0
0,0.0,8,74,0.8355462380619614,1.0,0.0
0,0.0,9,25,0.9231738035264484,1.0,0.0
0,0.25,0,2,0.8830933772110242,0.9463576158940397,0.02246687492367061
0,0.25,1,26,0.91286079649251,0.9230769230769231,0.001740445132027535
0,0.25,2,50,0.8971807628524047,0.9375,0.0
0,0.25,3,363,0.9207238482772924,0.9906710405156538,0.002516119769305325
0,0.25,4,54,0.8485778926955397,0.996875,-0.008317592771374227
0,0.25,5,143,0.4285714285714286,1.0,-0.11428571428571432
0,0.25,6,53,0.9766136996139689,0.9957983193277311,0.0050391937290032995
0,0.25,7,100,0.6071428571428571,0.85,-0.022486772486772444
0,0.25,8,74,0.8337995337995338,1.0,-0.001746704262427623
0,0.25,9,25,0.9253164556962026,1.0,0.002142652169754178
0,0.5,0,2,0.9349765258215963,0.9403973509933774,0.07435002353424269
0,0.5,1,26,0.902514234533939,0.9199519230769231,-0.008606116826543442
0,0.5,2,50,0.9527363184079602,0.9375,0.05555555555555558
0,0.5,3,363,0.9247795111104462,0.9906710405156538,0.006571782602459164
0,0.5,4,54,0.8540456516403501,0.996875,-0.0028498338265638967
0,0.5,5,143,0.5111111111111111,1.0,-0.031746031746031855
0,0.5,6,53,0.9694825298540469,0.9957983193277311,-0.0020919760309187074
0,0.5,7,100,0.5862068965517242,0.85,-0.04342273307790534
0,0.5,8,74,0.8012931034482759,1.0,-0.03425313461368551
0,0.5,9,25,0.9307692307692308,1.0,0.007595427242782393
0,0.75,0,2,0.9416666666666667,0.9529801324503311,0.08104016437931305
0,0.75,1,26,0.9092209836236164,0.9199519230769231,-0.0018993677368660533
0,0.75,2,50,0.8971807628524047,0.9375,0.0
0,0.75,3,363,0.9258056133056132,0.9906710405156538,0.007597884797626131
0,0.75,4,54,0.8665233700004213,0.996875,0.00962788453350738
0,0.75,5,143,0.41666666666666663,1.0,-0.1261904761904763
0,0.75,6,53,0.9674080598987007,0.9957983193277311,-0.004166445986264922
0,0.75,7,100,0.6071428571428571,0.85,-0.022486772486772444
0,0.75,8,74,0.7809426229508196,1.0,-0.05460361511114176
0,0.75,9,25,0.9341085271317829,1.0,0.01093472360533454
0,1.0,0,2,0.9485532011847801,0.9668874172185431,0.08792669889742655
0,1.0,1,26,0.8944326018808778,0.9199519230769231,-0.016687749479604608
0,1.0,2,50,0.8971807628524047,0.9375,0.0
0,1.0,3,363,0.9278726887422539,0.9906710405156538,0.009664960234266884
0,1.0,4,54,0.8702452292915126,0.996875,0.013349743824598637
0,1.0,5,143,0.3958333333333333,1.0,-0.1470238095238096
0,1.0,6,53,0.9529075228417727,0.9957983193277311,-0.01866698304319292
0,1.0,7,100,0.5483870967741935,0.85,-0.08124253285543603
0,1.0,8,74,0.784828441504754,1.0,-0.05071779655720743
0,1.0,9,25,0.9375,1.0,0.0143261964735516
1,0.0,0,27,0.7727272727272727,0.85,0.0
1,0.0,1,25,0.24309553608677514,0.9886363636363636,0.0
1,0.0,2,30,0.6788942052099947,1.0,0.0
1,0.0,3,229,0.701322693338224,0.851373954599761,0.0
1,0.0,4,15,0.8953886693017128,0.9367816091954023,0.0
1,0.0,5,37,0.915129151291513,0.8671328671328671,0.0
1,0.0,6,15,0.768705825006093,0.9973118279569892,0.0
1,0.0,7,5,0.9606185199392718,0.9268429487179487,0.0
1,0.0,8,134,0.7333333333333334,1.0,0.0
1,0.0,9,188,0.9686585995297357,0.9954545454545455,0.0
1,0.25,0,27,0.7906976744186046,0.85,0.017970401691331905
1,0.25,1,25,0.31311581327733806,0.9886363636363636,0.07002027719056292
1,0.25,2,30,0.8304093567251462,1.0,0.1515151515151515
1,0.25,3,229,0.708301518817328,0.8518369175627241,0.0069788254791040005
1,0.25,4,15,0.9367965367965367,0.9367816091954023,0.04140786749482395
1,0.25,5,37,0.915129151291513,0.8671328671328671,0.0
1,0.25,6,15,0.8709785522788203,0.9973118279569892,0.10227272727272729
1,0.25,7,5,0.9606185199392718,0.9268429487179487,0.0
1,0.25,8,134,0.8888888888888888,1.0,0.15555555555555545
1,0.25,9,188,0.9969604863221885,0.9954545454545455,0.028301886792452824
1,0.5,0,27,0.7555555555555556,0.85,-0.01717171717171706
1,0.5,1,25,0.429930332261522,0.9886363636363636,0.18683479617474685
1,0.5,2,30,0.8970760233918129,1.0,0.21818181818181825
1,0.5,3,229,0.6917775442014682,0.852299880525687,-0.009545149136755748
1,0.5,4,15,0.9396051103368176,0.9367816091954023,0.0442164410351048
1,0.5,5,37,0.911764705882353,0.8671328671328671,-0.003364445409159922
1,0.5,6,15,0.9050694613697294,0.9973118279569892,0.13636363636363646
1,0.5,7,5,0.9606185199392718,0.9268429487179487,0.0
1,0.5,8,134,1.0,1.0,0.2666666666666666
1,0.5,9,188,0.9969604863221885,0.9954545454545455,0.028301886792452824
1,0.75,0,27,0.7555555555555556,0.85,-0.01717171717171706
1,0.75,1,25,0.40164336521952415,0.9886363636363636,0.158547829132749
1,0.75,2,30,0.8333333333333333,1.0,0.1544391281233386
1,0.75,3,229,0.6791176529729948,0.8527628434886498,-0.02220504036522919
1,0.75,4,15,0.9396051103368176,0.9367816091954023,0.0442164410351048
1,0.75,5,37,0.911764705882353,0.8671328671328671,-0.003364445409159922
1,0.75,6,15,0.8872829001049073,0.9973118279569892,0.11857707509881432
1,0.75,7,5,0.9606185199392718,0.9268429487179487,0.0
1,0.75,8,134,0.9666666666666667,1.0,0.23333333333333328
1,0.75,9,188,0.9969604863221885,0.9954545454545455,0.028301886792452824
1,1.0,0,27,0.7555555555555556,0.85,-0.01717171717171706
1,1.0,1,25,0.3878205128205128,0.9886363636363636,0.14472497673373763
1,1.0,2,30,1.0,1.0,0.32110579479000534
1,1.0,3,229,0.6700994209381415,0.8536887694145758,-0.03122327240008249
1,1.0,4,15,0.9367965367965367,0.9367816091954023,0.04140786749482395
1,1.0,5,37,0.911764705882353,0.8671328671328671,-0.003364445409159922
1,1.0,6,15,0.9050694613697294,0.9973118279569892,0.13636363636363646
1,1.0,7,5,0.9606185199392718,0.9268429487179487,0.0
1,1.0,8,134,1.0,1.0,0.2666666666666666
1,1.0,9,188,0.9969604863221885,0.9954545454545455,0.028301886792452824
2,0.0,0,88,0.9785801713586291,0.9589201877934272,0.0
2,0.0,1,8,0.7650462962962963,1.0,0.0
2,0.0,2,35,0.6128830519074422,1.0,0.0
2,0.0,3,6,0.31767644215275537,0.9583333333333333,0.0
2,0.0,4,41,0.7423780487804879,0.9098837209302326,0.0
2,0.0,5,19,1.0,1.0,0.0
2,0.0,6,185,0.48315106250555706,0.9134615384615384,0.0
2,0.0,7,59,0.5542735042735043,1.0,0.0
2,0.0,8,1,1.0,1.0,0.0
2,0.0,9,70,0.9041344294003868,1.0,0.0
2,0.25,0,88,0.9747536945812808,0.9524647887323944,-0.0038264767773482644
2,0.25,1,8,0.7544642857142858,1.0,-0.01058201058201047
2,0.25,2,35,0.5902857142857142,1.0,-0.022597337621727998
2,0.25,3,6,0.2954654592851753,0.9583333333333333,-0.022210982867580054
2,0.25,4,41,0.7253103076092822,0.9098837209302326,-0.017067741171205686
2,0.25,5,19,1.0,1.0,0.0
2,0.25,6,185,0.4700255102040816,0.9134615384615384,-0.01312555230147544
2,0.25,7,59,0.5542735042735043,1.0,0.0
2,0.25,8,1,1.0,1.0,0.0
2,0.25,9,70,0.9041344294003868,1.0,0.0
2,0.5,0,88,0.9740740740740741,0.9507042253521127,-0.004506097284554977
2,0.5,1,8,0.78875,1.0,0.02370370370370367
2,0.5,2,35,0.6338854382332643,1.0,0.021002386325822076
2,0.5,3,6,0.3122966818477554,0.9583333333333333,-0.005379760304999981
2,0.5,4,41,0.764525993883792,0.9098837209302326,0.0221479451033042
2,0.5,5,19,1.0,1.0,0.0
2,0.5,6,185,0.4842300556586271,0.9134615384615384,0.0010789931530700292
2,0.5,7,59,0.5542735042735043,1.0,0.0
2,0.5,8,1,1.0,1.0,0.0
2,0.5,9,70,0.9041344294003868,1.0,0.0
2,0.75,0,88,0.9727722772277227,0.948356807511737,-0.0058078941309063215
2,0.75,1,8,0.7040441176470589,1.0,-0.061002178649237404
2,0.75,2,35,0.5907462686567163,1.0,-0.022136783250725878
2,0.75,3,6,0.2992682926829268,0.9583333333333333,-0.01840814946982855
2,0.75,4,41,0.6624579124579125,0.9098837209302326,-0.07992013632257533
2,0.75,5,19,1.0,1.0,0.0
2,0.75,6,185,0.4757201646090535,0.9134615384615384,-0.0074308978965035855
2,0.75,7,59,0.5575414781297134,1.0,0.0032679738562091387
2,0.75,8,1,1.0,1.0,0.0
2,0.75,9,70,0.9041344294003868,1.0,0.0
2,1.0,0,88,0.9714640198511166,0.9460093896713615,-0.007116151507512436
2,1.0,1,8,0.78875,1.0,0.02370370370370367
2,1.0,2,35,0.6399147727272727,1.0,0.027031720819830518
2,1.0,3,6,0.3259778470058844,0.9583333333333333,0.008301404853129024
2,1.0,4,41,0.7800127713920818,0.9098837209302326,0.03763472261159395
2,1.0,5,19,1.0,1.0,0.0
2,1.0,6,185,0.48224043715847,0.9134615384615384,-0.0009106253470870795
2,1.0,7,59,0.5542735042735043,1.0,0.0
2,1.0,8,1,1.0,1.0,0.0
2,1.0,9,70,0.9041344294003868,1.0,0.0
1 seed beta client_id min_positive_attack_Nij val_rare_macro_f1 val_rare_recall delta_vs_beta0
2 0 0.0 0 2 0.8606265022873536 0.947682119205298 0.0
3 0 0.0 1 26 0.9111203513604824 0.9230769230769231 0.0
4 0 0.0 2 50 0.8971807628524047 0.9375 0.0
5 0 0.0 3 363 0.918207728507987 0.9906710405156538 0.0
6 0 0.0 4 54 0.856895485466914 0.996875 0.0
7 0 0.0 5 143 0.5428571428571429 1.0 0.0
8 0 0.0 6 53 0.9715745058849656 0.9957983193277311 0.0
9 0 0.0 7 100 0.6296296296296295 0.85 0.0
10 0 0.0 8 74 0.8355462380619614 1.0 0.0
11 0 0.0 9 25 0.9231738035264484 1.0 0.0
12 0 0.25 0 2 0.8830933772110242 0.9463576158940397 0.02246687492367061
13 0 0.25 1 26 0.91286079649251 0.9230769230769231 0.001740445132027535
14 0 0.25 2 50 0.8971807628524047 0.9375 0.0
15 0 0.25 3 363 0.9207238482772924 0.9906710405156538 0.002516119769305325
16 0 0.25 4 54 0.8485778926955397 0.996875 -0.008317592771374227
17 0 0.25 5 143 0.4285714285714286 1.0 -0.11428571428571432
18 0 0.25 6 53 0.9766136996139689 0.9957983193277311 0.0050391937290032995
19 0 0.25 7 100 0.6071428571428571 0.85 -0.022486772486772444
20 0 0.25 8 74 0.8337995337995338 1.0 -0.001746704262427623
21 0 0.25 9 25 0.9253164556962026 1.0 0.002142652169754178
22 0 0.5 0 2 0.9349765258215963 0.9403973509933774 0.07435002353424269
23 0 0.5 1 26 0.902514234533939 0.9199519230769231 -0.008606116826543442
24 0 0.5 2 50 0.9527363184079602 0.9375 0.05555555555555558
25 0 0.5 3 363 0.9247795111104462 0.9906710405156538 0.006571782602459164
26 0 0.5 4 54 0.8540456516403501 0.996875 -0.0028498338265638967
27 0 0.5 5 143 0.5111111111111111 1.0 -0.031746031746031855
28 0 0.5 6 53 0.9694825298540469 0.9957983193277311 -0.0020919760309187074
29 0 0.5 7 100 0.5862068965517242 0.85 -0.04342273307790534
30 0 0.5 8 74 0.8012931034482759 1.0 -0.03425313461368551
31 0 0.5 9 25 0.9307692307692308 1.0 0.007595427242782393
32 0 0.75 0 2 0.9416666666666667 0.9529801324503311 0.08104016437931305
33 0 0.75 1 26 0.9092209836236164 0.9199519230769231 -0.0018993677368660533
34 0 0.75 2 50 0.8971807628524047 0.9375 0.0
35 0 0.75 3 363 0.9258056133056132 0.9906710405156538 0.007597884797626131
36 0 0.75 4 54 0.8665233700004213 0.996875 0.00962788453350738
37 0 0.75 5 143 0.41666666666666663 1.0 -0.1261904761904763
38 0 0.75 6 53 0.9674080598987007 0.9957983193277311 -0.004166445986264922
39 0 0.75 7 100 0.6071428571428571 0.85 -0.022486772486772444
40 0 0.75 8 74 0.7809426229508196 1.0 -0.05460361511114176
41 0 0.75 9 25 0.9341085271317829 1.0 0.01093472360533454
42 0 1.0 0 2 0.9485532011847801 0.9668874172185431 0.08792669889742655
43 0 1.0 1 26 0.8944326018808778 0.9199519230769231 -0.016687749479604608
44 0 1.0 2 50 0.8971807628524047 0.9375 0.0
45 0 1.0 3 363 0.9278726887422539 0.9906710405156538 0.009664960234266884
46 0 1.0 4 54 0.8702452292915126 0.996875 0.013349743824598637
47 0 1.0 5 143 0.3958333333333333 1.0 -0.1470238095238096
48 0 1.0 6 53 0.9529075228417727 0.9957983193277311 -0.01866698304319292
49 0 1.0 7 100 0.5483870967741935 0.85 -0.08124253285543603
50 0 1.0 8 74 0.784828441504754 1.0 -0.05071779655720743
51 0 1.0 9 25 0.9375 1.0 0.0143261964735516
52 1 0.0 0 27 0.7727272727272727 0.85 0.0
53 1 0.0 1 25 0.24309553608677514 0.9886363636363636 0.0
54 1 0.0 2 30 0.6788942052099947 1.0 0.0
55 1 0.0 3 229 0.701322693338224 0.851373954599761 0.0
56 1 0.0 4 15 0.8953886693017128 0.9367816091954023 0.0
57 1 0.0 5 37 0.915129151291513 0.8671328671328671 0.0
58 1 0.0 6 15 0.768705825006093 0.9973118279569892 0.0
59 1 0.0 7 5 0.9606185199392718 0.9268429487179487 0.0
60 1 0.0 8 134 0.7333333333333334 1.0 0.0
61 1 0.0 9 188 0.9686585995297357 0.9954545454545455 0.0
62 1 0.25 0 27 0.7906976744186046 0.85 0.017970401691331905
63 1 0.25 1 25 0.31311581327733806 0.9886363636363636 0.07002027719056292
64 1 0.25 2 30 0.8304093567251462 1.0 0.1515151515151515
65 1 0.25 3 229 0.708301518817328 0.8518369175627241 0.0069788254791040005
66 1 0.25 4 15 0.9367965367965367 0.9367816091954023 0.04140786749482395
67 1 0.25 5 37 0.915129151291513 0.8671328671328671 0.0
68 1 0.25 6 15 0.8709785522788203 0.9973118279569892 0.10227272727272729
69 1 0.25 7 5 0.9606185199392718 0.9268429487179487 0.0
70 1 0.25 8 134 0.8888888888888888 1.0 0.15555555555555545
71 1 0.25 9 188 0.9969604863221885 0.9954545454545455 0.028301886792452824
72 1 0.5 0 27 0.7555555555555556 0.85 -0.01717171717171706
73 1 0.5 1 25 0.429930332261522 0.9886363636363636 0.18683479617474685
74 1 0.5 2 30 0.8970760233918129 1.0 0.21818181818181825
75 1 0.5 3 229 0.6917775442014682 0.852299880525687 -0.009545149136755748
76 1 0.5 4 15 0.9396051103368176 0.9367816091954023 0.0442164410351048
77 1 0.5 5 37 0.911764705882353 0.8671328671328671 -0.003364445409159922
78 1 0.5 6 15 0.9050694613697294 0.9973118279569892 0.13636363636363646
79 1 0.5 7 5 0.9606185199392718 0.9268429487179487 0.0
80 1 0.5 8 134 1.0 1.0 0.2666666666666666
81 1 0.5 9 188 0.9969604863221885 0.9954545454545455 0.028301886792452824
82 1 0.75 0 27 0.7555555555555556 0.85 -0.01717171717171706
83 1 0.75 1 25 0.40164336521952415 0.9886363636363636 0.158547829132749
84 1 0.75 2 30 0.8333333333333333 1.0 0.1544391281233386
85 1 0.75 3 229 0.6791176529729948 0.8527628434886498 -0.02220504036522919
86 1 0.75 4 15 0.9396051103368176 0.9367816091954023 0.0442164410351048
87 1 0.75 5 37 0.911764705882353 0.8671328671328671 -0.003364445409159922
88 1 0.75 6 15 0.8872829001049073 0.9973118279569892 0.11857707509881432
89 1 0.75 7 5 0.9606185199392718 0.9268429487179487 0.0
90 1 0.75 8 134 0.9666666666666667 1.0 0.23333333333333328
91 1 0.75 9 188 0.9969604863221885 0.9954545454545455 0.028301886792452824
92 1 1.0 0 27 0.7555555555555556 0.85 -0.01717171717171706
93 1 1.0 1 25 0.3878205128205128 0.9886363636363636 0.14472497673373763
94 1 1.0 2 30 1.0 1.0 0.32110579479000534
95 1 1.0 3 229 0.6700994209381415 0.8536887694145758 -0.03122327240008249
96 1 1.0 4 15 0.9367965367965367 0.9367816091954023 0.04140786749482395
97 1 1.0 5 37 0.911764705882353 0.8671328671328671 -0.003364445409159922
98 1 1.0 6 15 0.9050694613697294 0.9973118279569892 0.13636363636363646
99 1 1.0 7 5 0.9606185199392718 0.9268429487179487 0.0
100 1 1.0 8 134 1.0 1.0 0.2666666666666666
101 1 1.0 9 188 0.9969604863221885 0.9954545454545455 0.028301886792452824
102 2 0.0 0 88 0.9785801713586291 0.9589201877934272 0.0
103 2 0.0 1 8 0.7650462962962963 1.0 0.0
104 2 0.0 2 35 0.6128830519074422 1.0 0.0
105 2 0.0 3 6 0.31767644215275537 0.9583333333333333 0.0
106 2 0.0 4 41 0.7423780487804879 0.9098837209302326 0.0
107 2 0.0 5 19 1.0 1.0 0.0
108 2 0.0 6 185 0.48315106250555706 0.9134615384615384 0.0
109 2 0.0 7 59 0.5542735042735043 1.0 0.0
110 2 0.0 8 1 1.0 1.0 0.0
111 2 0.0 9 70 0.9041344294003868 1.0 0.0
112 2 0.25 0 88 0.9747536945812808 0.9524647887323944 -0.0038264767773482644
113 2 0.25 1 8 0.7544642857142858 1.0 -0.01058201058201047
114 2 0.25 2 35 0.5902857142857142 1.0 -0.022597337621727998
115 2 0.25 3 6 0.2954654592851753 0.9583333333333333 -0.022210982867580054
116 2 0.25 4 41 0.7253103076092822 0.9098837209302326 -0.017067741171205686
117 2 0.25 5 19 1.0 1.0 0.0
118 2 0.25 6 185 0.4700255102040816 0.9134615384615384 -0.01312555230147544
119 2 0.25 7 59 0.5542735042735043 1.0 0.0
120 2 0.25 8 1 1.0 1.0 0.0
121 2 0.25 9 70 0.9041344294003868 1.0 0.0
122 2 0.5 0 88 0.9740740740740741 0.9507042253521127 -0.004506097284554977
123 2 0.5 1 8 0.78875 1.0 0.02370370370370367
124 2 0.5 2 35 0.6338854382332643 1.0 0.021002386325822076
125 2 0.5 3 6 0.3122966818477554 0.9583333333333333 -0.005379760304999981
126 2 0.5 4 41 0.764525993883792 0.9098837209302326 0.0221479451033042
127 2 0.5 5 19 1.0 1.0 0.0
128 2 0.5 6 185 0.4842300556586271 0.9134615384615384 0.0010789931530700292
129 2 0.5 7 59 0.5542735042735043 1.0 0.0
130 2 0.5 8 1 1.0 1.0 0.0
131 2 0.5 9 70 0.9041344294003868 1.0 0.0
132 2 0.75 0 88 0.9727722772277227 0.948356807511737 -0.0058078941309063215
133 2 0.75 1 8 0.7040441176470589 1.0 -0.061002178649237404
134 2 0.75 2 35 0.5907462686567163 1.0 -0.022136783250725878
135 2 0.75 3 6 0.2992682926829268 0.9583333333333333 -0.01840814946982855
136 2 0.75 4 41 0.6624579124579125 0.9098837209302326 -0.07992013632257533
137 2 0.75 5 19 1.0 1.0 0.0
138 2 0.75 6 185 0.4757201646090535 0.9134615384615384 -0.0074308978965035855
139 2 0.75 7 59 0.5575414781297134 1.0 0.0032679738562091387
140 2 0.75 8 1 1.0 1.0 0.0
141 2 0.75 9 70 0.9041344294003868 1.0 0.0
142 2 1.0 0 88 0.9714640198511166 0.9460093896713615 -0.007116151507512436
143 2 1.0 1 8 0.78875 1.0 0.02370370370370367
144 2 1.0 2 35 0.6399147727272727 1.0 0.027031720819830518
145 2 1.0 3 6 0.3259778470058844 0.9583333333333333 0.008301404853129024
146 2 1.0 4 41 0.7800127713920818 0.9098837209302326 0.03763472261159395
147 2 1.0 5 19 1.0 1.0 0.0
148 2 1.0 6 185 0.48224043715847 0.9134615384615384 -0.0009106253470870795
149 2 1.0 7 59 0.5542735042735043 1.0 0.0
150 2 1.0 8 1 1.0 1.0 0.0
151 2 1.0 9 70 0.9041344294003868 1.0 0.0
@@ -0,0 +1,16 @@
seed,beta,n_eligible,n_improve_vs_beta0,n_degrade_vs_beta0,n_unchanged,mean_delta_vs_beta0,median_delta_vs_beta0,min_delta_vs_beta0,max_delta_vs_beta0
0,0.0,10,0,0,10,0.0,0.0,0.0,0.0
0,0.25,10,5,4,1,-0.011293149808252767,0.0008702225660137675,-0.11428571428571432,0.02246687492367061
0,0.5,10,4,6,0,0.002110296281339108,-0.002470904928741302,-0.04342273307790534,0.07435002353424269
0,0.75,10,4,5,1,-0.010014602019574038,-0.0009496838684330267,-0.1261904761904763,0.08104016437931305
0,1.0,10,4,5,1,-0.018907127202940695,-0.008343874739802304,-0.1470238095238096,0.08792669889742655
1,0.0,10,0,0,10,0.0,0.0,0.0,0.0
1,0.25,10,8,0,2,0.057402269299170985,0.034854877143638385,0.0,0.15555555555555545
1,0.5,10,6,3,1,0.08504839334967931,0.036259163913778814,-0.01717171717171706,0.2666666666666666
1,0.75,10,6,3,1,0.06946744905696867,0.036259163913778814,-0.02220504036522919,0.23333333333333328
1,1.0,10,6,3,1,0.08868113938603633,0.034854877143638385,-0.03122327240008249,0.32110579479000534
2,0.0,10,0,0,10,0.0,0.0,0.0,0.0
2,0.25,10,0,6,4,-0.008941010132134792,-0.007204243679679367,-0.022597337621727998,0.0
2,0.5,10,4,2,4,0.005804717069634502,0.0,-0.005379760304999981,0.02370370370370367
2,0.75,10,1,6,3,-0.019143806586356792,-0.0066193960137049535,-0.07992013632257533,0.0032679738562091387
2,1.0,10,4,2,4,0.008864477513365766,0.0,-0.007116151507512436,0.03763472261159395
1 seed beta n_eligible n_improve_vs_beta0 n_degrade_vs_beta0 n_unchanged mean_delta_vs_beta0 median_delta_vs_beta0 min_delta_vs_beta0 max_delta_vs_beta0
2 0 0.0 10 0 0 10 0.0 0.0 0.0 0.0
3 0 0.25 10 5 4 1 -0.011293149808252767 0.0008702225660137675 -0.11428571428571432 0.02246687492367061
4 0 0.5 10 4 6 0 0.002110296281339108 -0.002470904928741302 -0.04342273307790534 0.07435002353424269
5 0 0.75 10 4 5 1 -0.010014602019574038 -0.0009496838684330267 -0.1261904761904763 0.08104016437931305
6 0 1.0 10 4 5 1 -0.018907127202940695 -0.008343874739802304 -0.1470238095238096 0.08792669889742655
7 1 0.0 10 0 0 10 0.0 0.0 0.0 0.0
8 1 0.25 10 8 0 2 0.057402269299170985 0.034854877143638385 0.0 0.15555555555555545
9 1 0.5 10 6 3 1 0.08504839334967931 0.036259163913778814 -0.01717171717171706 0.2666666666666666
10 1 0.75 10 6 3 1 0.06946744905696867 0.036259163913778814 -0.02220504036522919 0.23333333333333328
11 1 1.0 10 6 3 1 0.08868113938603633 0.034854877143638385 -0.03122327240008249 0.32110579479000534
12 2 0.0 10 0 0 10 0.0 0.0 0.0 0.0
13 2 0.25 10 0 6 4 -0.008941010132134792 -0.007204243679679367 -0.022597337621727998 0.0
14 2 0.5 10 4 2 4 0.005804717069634502 0.0 -0.005379760304999981 0.02370370370370367
15 2 0.75 10 1 6 3 -0.019143806586356792 -0.0066193960137049535 -0.07992013632257533 0.0032679738562091387
16 2 1.0 10 4 2 4 0.008864477513365766 0.0 -0.007116151507512436 0.03763472261159395
@@ -0,0 +1,46 @@
class_id,class_name,beta,n_seeds,n_contributors_seed0,mean_displacement,std_sample_displacement,min_displacement,max_displacement,mean_relative_displacement
0,Benign,0.0,3,10,0.0,0.0,0.0,0.0,0.0
0,Benign,0.25,3,10,0.3096796159392729,0.12733390390342178,0.20004033735439222,0.44934231344407405,0.05197995403943065
0,Benign,0.5,3,10,0.5313041924979508,0.18639783112367184,0.38907686021198906,0.7423202921820351,0.08910009803167558
0,Benign,0.75,3,10,0.69629058529007,0.22779495505973918,0.5531271037155966,0.9589710040117058,0.11673890777383779
0,Benign,1.0,3,10,0.8242192109522325,0.2718678603634198,0.6497236186430407,1.1374661214791688,0.13820856413319157
1,HTTPFlood,0.0,3,10,0.0,0.0,0.0,0.0,0.0
1,HTTPFlood,0.25,3,10,0.4602725694146856,0.18305156058682095,0.31613002745222124,0.6662283784528569,0.05883350276356747
1,HTTPFlood,0.5,3,10,0.8310227133930249,0.3411175554968644,0.6174652346598523,1.2244302878861635,0.1064156023196597
1,HTTPFlood,0.75,3,10,1.1273671703584032,0.46200313323693143,0.8186103617659485,1.6585065333294826,0.14446682079773532
1,HTTPFlood,1.0,3,10,1.3664020721980037,0.5435449017657998,0.9406614395494424,1.9786465808777682,0.17507931126042764
2,ICMPFlood,0.0,3,8,0.0,0.0,0.0,0.0,0.0
2,ICMPFlood,0.25,3,8,0.1687900249050803,0.0775079504975022,0.08345694344366894,0.23482708759290863,0.04474379120486107
2,ICMPFlood,0.5,3,8,0.34244262249530116,0.1644441365409218,0.15965710237974665,0.4783770963700612,0.0907929477899344
2,ICMPFlood,0.75,3,8,0.5139630099006949,0.25295959551882624,0.2343419660332571,0.7269008922059704,0.1363303720843034
2,ICMPFlood,1.0,3,8,0.6733630855518974,0.33119344952410124,0.31202266651849364,0.9624949343114511,0.1786782977125397
3,SYNFlood,0.0,3,9,0.0,0.0,0.0,0.0,0.0
3,SYNFlood,0.25,3,9,0.6021686056359762,0.11047230421806259,0.503724248485336,0.7216450467734076,0.17274706399268194
3,SYNFlood,0.5,3,9,1.1172146662725975,0.1499636250284683,0.9903052787994496,1.282696779657381,0.32007952532615175
3,SYNFlood,0.75,3,9,1.545644067324437,0.1632736664305707,1.425964163319618,1.7316419781829142,0.44233653348901675
3,SYNFlood,1.0,3,9,1.8966313690365364,0.1707004572307703,1.7971017154922897,2.0937360483530942,0.5423454423708408
4,SYNScan,0.0,3,10,0.0,0.0,0.0,0.0,0.0
4,SYNScan,0.25,3,10,0.5317067439232072,0.23047479904803986,0.2712995671528225,0.7094467363698403,0.06779724186081004
4,SYNScan,0.5,3,10,0.9655251485202818,0.4123413871043271,0.4974266930761591,1.274995172626633,0.12306294040142425
4,SYNScan,0.75,3,10,1.303724006619192,0.5454960197128634,0.6817528629603612,1.7009060393061817,0.16608620628744505
4,SYNScan,1.0,3,10,1.5627721380862394,0.6395395815733285,0.8310393297936969,2.0148719426654047,0.19898769631915747
5,SlowrateDoS,0.0,3,10,0.0,0.0,0.0,0.0,0.0
5,SlowrateDoS,0.25,3,10,0.6887407419077284,0.3994937259726447,0.3849888650074708,1.1412765131443214,0.11171643625649925
5,SlowrateDoS,0.5,3,10,1.0992104079174394,0.5624209481314455,0.663982981259247,1.7342569160895378,0.17778704412207272
5,SlowrateDoS,0.75,3,10,1.3714335207496207,0.6346805617784063,0.8681957938468777,2.0844451216445647,0.22138467497184797
5,SlowrateDoS,1.0,3,10,1.5649187261569397,0.654138365253272,1.0223779494937628,2.2913090219189884,0.2522141838283814
6,TCPConnectScan,0.0,3,10,0.0,0.0,0.0,0.0,0.0
6,TCPConnectScan,0.25,3,10,0.42219528894445313,0.19249673581963359,0.20349619083032527,0.565939919979383,0.11260658758504753
6,TCPConnectScan,0.5,3,10,0.7591425183468251,0.33032895727072814,0.3869265339985526,1.0174215972406544,0.20215707803311408
6,TCPConnectScan,0.75,3,10,1.021469490355507,0.42067108042237206,0.5506261437672251,1.3603032767403593,0.2716558992474815
6,TCPConnectScan,1.0,3,10,1.2260809195578348,0.4757573735353394,0.6951966301150282,1.6138606377812053,0.32576611133643296
7,UDPFlood,0.0,3,10,0.0,0.0,0.0,0.0,0.0
7,UDPFlood,0.25,3,10,0.3398776575971591,0.044474647267926964,0.30430818584262825,0.38974204058804235,0.06126083183542604
7,UDPFlood,0.5,3,10,0.5882126224252917,0.05110078658105222,0.5319553322178198,0.63175646662234,0.10602535483597288
7,UDPFlood,0.75,3,10,0.7666864532232286,0.06531205542266563,0.6971774040155683,0.826779360613232,0.13819357681480646
7,UDPFlood,1.0,3,10,0.9026363032967967,0.10316225038256528,0.8176540927055402,1.017418264281527,0.16267861998433658
8,UDPScan,0.0,3,10,0.0,0.0,0.0,0.0,0.0
8,UDPScan,0.25,3,10,0.948784374089595,0.32295399221729687,0.6432942008401974,1.2867485110982368,0.11040237913689727
8,UDPScan,0.5,3,10,1.6409225519791484,0.45185696586563645,1.1533048328462676,2.0454996845102325,0.19112341897022947
8,UDPScan,0.75,3,10,2.1199403852192593,0.4860036627687715,1.5614428575749395,2.446728016676739,0.24708688296871964
8,UDPScan,1.0,3,10,2.444525243361723,0.48441013395931937,1.8919878834982704,2.7961598794595446,0.2850436623074378
1 class_id class_name beta n_seeds n_contributors_seed0 mean_displacement std_sample_displacement min_displacement max_displacement mean_relative_displacement
2 0 Benign 0.0 3 10 0.0 0.0 0.0 0.0 0.0
3 0 Benign 0.25 3 10 0.3096796159392729 0.12733390390342178 0.20004033735439222 0.44934231344407405 0.05197995403943065
4 0 Benign 0.5 3 10 0.5313041924979508 0.18639783112367184 0.38907686021198906 0.7423202921820351 0.08910009803167558
5 0 Benign 0.75 3 10 0.69629058529007 0.22779495505973918 0.5531271037155966 0.9589710040117058 0.11673890777383779
6 0 Benign 1.0 3 10 0.8242192109522325 0.2718678603634198 0.6497236186430407 1.1374661214791688 0.13820856413319157
7 1 HTTPFlood 0.0 3 10 0.0 0.0 0.0 0.0 0.0
8 1 HTTPFlood 0.25 3 10 0.4602725694146856 0.18305156058682095 0.31613002745222124 0.6662283784528569 0.05883350276356747
9 1 HTTPFlood 0.5 3 10 0.8310227133930249 0.3411175554968644 0.6174652346598523 1.2244302878861635 0.1064156023196597
10 1 HTTPFlood 0.75 3 10 1.1273671703584032 0.46200313323693143 0.8186103617659485 1.6585065333294826 0.14446682079773532
11 1 HTTPFlood 1.0 3 10 1.3664020721980037 0.5435449017657998 0.9406614395494424 1.9786465808777682 0.17507931126042764
12 2 ICMPFlood 0.0 3 8 0.0 0.0 0.0 0.0 0.0
13 2 ICMPFlood 0.25 3 8 0.1687900249050803 0.0775079504975022 0.08345694344366894 0.23482708759290863 0.04474379120486107
14 2 ICMPFlood 0.5 3 8 0.34244262249530116 0.1644441365409218 0.15965710237974665 0.4783770963700612 0.0907929477899344
15 2 ICMPFlood 0.75 3 8 0.5139630099006949 0.25295959551882624 0.2343419660332571 0.7269008922059704 0.1363303720843034
16 2 ICMPFlood 1.0 3 8 0.6733630855518974 0.33119344952410124 0.31202266651849364 0.9624949343114511 0.1786782977125397
17 3 SYNFlood 0.0 3 9 0.0 0.0 0.0 0.0 0.0
18 3 SYNFlood 0.25 3 9 0.6021686056359762 0.11047230421806259 0.503724248485336 0.7216450467734076 0.17274706399268194
19 3 SYNFlood 0.5 3 9 1.1172146662725975 0.1499636250284683 0.9903052787994496 1.282696779657381 0.32007952532615175
20 3 SYNFlood 0.75 3 9 1.545644067324437 0.1632736664305707 1.425964163319618 1.7316419781829142 0.44233653348901675
21 3 SYNFlood 1.0 3 9 1.8966313690365364 0.1707004572307703 1.7971017154922897 2.0937360483530942 0.5423454423708408
22 4 SYNScan 0.0 3 10 0.0 0.0 0.0 0.0 0.0
23 4 SYNScan 0.25 3 10 0.5317067439232072 0.23047479904803986 0.2712995671528225 0.7094467363698403 0.06779724186081004
24 4 SYNScan 0.5 3 10 0.9655251485202818 0.4123413871043271 0.4974266930761591 1.274995172626633 0.12306294040142425
25 4 SYNScan 0.75 3 10 1.303724006619192 0.5454960197128634 0.6817528629603612 1.7009060393061817 0.16608620628744505
26 4 SYNScan 1.0 3 10 1.5627721380862394 0.6395395815733285 0.8310393297936969 2.0148719426654047 0.19898769631915747
27 5 SlowrateDoS 0.0 3 10 0.0 0.0 0.0 0.0 0.0
28 5 SlowrateDoS 0.25 3 10 0.6887407419077284 0.3994937259726447 0.3849888650074708 1.1412765131443214 0.11171643625649925
29 5 SlowrateDoS 0.5 3 10 1.0992104079174394 0.5624209481314455 0.663982981259247 1.7342569160895378 0.17778704412207272
30 5 SlowrateDoS 0.75 3 10 1.3714335207496207 0.6346805617784063 0.8681957938468777 2.0844451216445647 0.22138467497184797
31 5 SlowrateDoS 1.0 3 10 1.5649187261569397 0.654138365253272 1.0223779494937628 2.2913090219189884 0.2522141838283814
32 6 TCPConnectScan 0.0 3 10 0.0 0.0 0.0 0.0 0.0
33 6 TCPConnectScan 0.25 3 10 0.42219528894445313 0.19249673581963359 0.20349619083032527 0.565939919979383 0.11260658758504753
34 6 TCPConnectScan 0.5 3 10 0.7591425183468251 0.33032895727072814 0.3869265339985526 1.0174215972406544 0.20215707803311408
35 6 TCPConnectScan 0.75 3 10 1.021469490355507 0.42067108042237206 0.5506261437672251 1.3603032767403593 0.2716558992474815
36 6 TCPConnectScan 1.0 3 10 1.2260809195578348 0.4757573735353394 0.6951966301150282 1.6138606377812053 0.32576611133643296
37 7 UDPFlood 0.0 3 10 0.0 0.0 0.0 0.0 0.0
38 7 UDPFlood 0.25 3 10 0.3398776575971591 0.044474647267926964 0.30430818584262825 0.38974204058804235 0.06126083183542604
39 7 UDPFlood 0.5 3 10 0.5882126224252917 0.05110078658105222 0.5319553322178198 0.63175646662234 0.10602535483597288
40 7 UDPFlood 0.75 3 10 0.7666864532232286 0.06531205542266563 0.6971774040155683 0.826779360613232 0.13819357681480646
41 7 UDPFlood 1.0 3 10 0.9026363032967967 0.10316225038256528 0.8176540927055402 1.017418264281527 0.16267861998433658
42 8 UDPScan 0.0 3 10 0.0 0.0 0.0 0.0 0.0
43 8 UDPScan 0.25 3 10 0.948784374089595 0.32295399221729687 0.6432942008401974 1.2867485110982368 0.11040237913689727
44 8 UDPScan 0.5 3 10 1.6409225519791484 0.45185696586563645 1.1533048328462676 2.0454996845102325 0.19112341897022947
45 8 UDPScan 0.75 3 10 2.1199403852192593 0.4860036627687715 1.5614428575749395 2.446728016676739 0.24708688296871964
46 8 UDPScan 1.0 3 10 2.444525243361723 0.48441013395931937 1.8919878834982704 2.7961598794595446 0.2850436623074378
@@ -0,0 +1,19 @@
dataset,alpha,seed,aggregation,wall_clock,wall_seconds,cpu_percent,peak_rss_kb,peak_rss_gib,swaps
5gnidd,0.75,0,original_protean,61:55,3715,745,9106052,8.684,0
5gnidd,0.75,0,support_weighted_beta0,62:07,3727,744,9105440,8.684,0
5gnidd,0.75,0,support_weighted_beta0.25,62:26,3746,743,9110716,8.689,0
5gnidd,0.75,0,support_weighted_beta0.5,62:59,3779,743,9108484,8.687,0
5gnidd,0.75,0,support_weighted_beta0.75,62:36,3756,743,9064944,8.645,0
5gnidd,0.75,0,support_weighted_beta1,62:13,3733,742,9108460,8.687,0
5gnidd,0.75,1,original_protean,64:25,3865,742,12346024,11.774,0
5gnidd,0.75,1,support_weighted_beta0,65:05,3905,741,12348336,11.776,0
5gnidd,0.75,1,support_weighted_beta0.25,64:10,3850,741,12351992,11.78,0
5gnidd,0.75,1,support_weighted_beta0.5,64:51,3891,741,12351360,11.779,0
5gnidd,0.75,1,support_weighted_beta0.75,66:37,3997,739,12331032,11.76,0
5gnidd,0.75,1,support_weighted_beta1,64:52,3892,741,12350876,11.779,0
5gnidd,0.75,2,original_protean,63:38,3818,740,11515032,10.982,0
5gnidd,0.75,2,support_weighted_beta0,64:12,3852,740,11520580,10.987,0
5gnidd,0.75,2,support_weighted_beta0.25,63:53,3833,740,11514072,10.981,0
5gnidd,0.75,2,support_weighted_beta0.5,65:01,3901,738,11532248,10.998,0
5gnidd,0.75,2,support_weighted_beta0.75,64:52,3892,740,11532200,10.998,0
5gnidd,0.75,2,support_weighted_beta1,65:12,3912,738,11518432,10.985,0
1 dataset alpha seed aggregation wall_clock wall_seconds cpu_percent peak_rss_kb peak_rss_gib swaps
2 5gnidd 0.75 0 original_protean 61:55 3715 745 9106052 8.684 0
3 5gnidd 0.75 0 support_weighted_beta0 62:07 3727 744 9105440 8.684 0
4 5gnidd 0.75 0 support_weighted_beta0.25 62:26 3746 743 9110716 8.689 0
5 5gnidd 0.75 0 support_weighted_beta0.5 62:59 3779 743 9108484 8.687 0
6 5gnidd 0.75 0 support_weighted_beta0.75 62:36 3756 743 9064944 8.645 0
7 5gnidd 0.75 0 support_weighted_beta1 62:13 3733 742 9108460 8.687 0
8 5gnidd 0.75 1 original_protean 64:25 3865 742 12346024 11.774 0
9 5gnidd 0.75 1 support_weighted_beta0 65:05 3905 741 12348336 11.776 0
10 5gnidd 0.75 1 support_weighted_beta0.25 64:10 3850 741 12351992 11.78 0
11 5gnidd 0.75 1 support_weighted_beta0.5 64:51 3891 741 12351360 11.779 0
12 5gnidd 0.75 1 support_weighted_beta0.75 66:37 3997 739 12331032 11.76 0
13 5gnidd 0.75 1 support_weighted_beta1 64:52 3892 741 12350876 11.779 0
14 5gnidd 0.75 2 original_protean 63:38 3818 740 11515032 10.982 0
15 5gnidd 0.75 2 support_weighted_beta0 64:12 3852 740 11520580 10.987 0
16 5gnidd 0.75 2 support_weighted_beta0.25 63:53 3833 740 11514072 10.981 0
17 5gnidd 0.75 2 support_weighted_beta0.5 65:01 3901 738 11532248 10.998 0
18 5gnidd 0.75 2 support_weighted_beta0.75 64:52 3892 740 11532200 10.998 0
19 5gnidd 0.75 2 support_weighted_beta1 65:12 3912 738 11518432 10.985 0
@@ -0,0 +1,111 @@
{
"alpha": 0.75,
"betas": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"dataset": "5gnidd",
"missing_artifacts": [],
"n_missing_artifacts": 0,
"outputs": {
"client_deltas": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_deltas.csv",
"client_validation_detail": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_detail.csv",
"client_validation_summary": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_summary.csv",
"per_seed": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv",
"pooled": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv",
"prototype_effect_pooled": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv",
"test_descriptive": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv"
},
"per_seed_diagnostic": [
{
"seed": 0,
"selected_beta": 0.5,
"test_used_for_selection": false,
"val_rare_macro_f1_per_client_mean": 0.8367915113248682
},
{
"seed": 1,
"selected_beta": 1.0,
"test_used_for_selection": false,
"val_rare_macro_f1_per_client_mean": 0.852468519962429
},
{
"seed": 2,
"selected_beta": 1.0,
"test_used_for_selection": false,
"val_rare_macro_f1_per_client_mean": 0.7446767781808716
}
],
"pooled_table": [
{
"beta": 0.0,
"max_val_rare_macro_f1": 0.8346812150435289,
"min_val_rare_macro_f1": 0.7358123006675059,
"n_seeds": 3,
"pooled_val_rare_macro_f1_per_client_mean": 0.7780936320958092,
"pooled_val_rare_recall_global": 0.9580824335765369,
"pooled_val_rare_recall_per_client_mean": 0.9598578766446005,
"std_pop_val_rare_macro_f1": 0.04161143418081097,
"std_sample_val_rare_macro_f1": 0.05096339060419691
},
{
"beta": 0.25,
"max_val_rare_macro_f1": 0.8233880652352761,
"min_val_rare_macro_f1": 0.7268712905353711,
"n_seeds": 3,
"pooled_val_rare_macro_f1_per_client_mean": 0.7904830018820702,
"pooled_val_rare_recall_global": 0.9574138080309967,
"pooled_val_rare_recall_per_client_mean": 0.9596139786642895,
"std_pop_val_rare_macro_f1": 0.04498922554616295,
"std_sample_val_rare_macro_f1": 0.05510032325554253
},
{
"beta": 0.5,
"max_val_rare_macro_f1": 0.8488357739260719,
"min_val_rare_macro_f1": 0.7416170177371404,
"n_seeds": 3,
"pooled_val_rare_macro_f1_per_client_mean": 0.8090814343293601,
"pooled_val_rare_recall_global": 0.9571930467860316,
"pooled_val_rare_recall_per_client_mean": 0.9592678831536903,
"std_pop_val_rare_macro_f1": 0.04795728443103037,
"std_sample_val_rare_macro_f1": 0.05873543815277214
},
{
"beta": 0.75,
"max_val_rare_macro_f1": 0.8332548296333613,
"min_val_rare_macro_f1": 0.7166684940811491,
"n_seeds": 3,
"pooled_val_rare_macro_f1_per_client_mean": 0.7915299789128217,
"pooled_val_rare_recall_global": 0.9578711144545552,
"pooled_val_rare_recall_per_client_mean": 0.9596244940396749,
"std_pop_val_rare_macro_f1": 0.05305104962539758,
"std_sample_val_rare_macro_f1": 0.06497400095064636
},
{
"beta": 1.0,
"max_val_rare_macro_f1": 0.852468519962429,
"min_val_rare_macro_f1": 0.7446767781808716,
"n_seeds": 3,
"pooled_val_rare_macro_f1_per_client_mean": 0.8043064619946296,
"pooled_val_rare_recall_global": 0.9589424127769477,
"pooled_val_rare_recall_per_client_mean": 0.9600406871348003,
"std_pop_val_rare_macro_f1": 0.04474665522682604,
"std_sample_val_rare_macro_f1": 0.05480323650098284
}
],
"primary_selection": {
"rule": "max pooled validation per-client-mean rare-class macro-F1 (tie-break: recall, then lower std, then smaller beta)",
"selected_beta": 0.5,
"selection_split": "validation",
"test_used_for_selection": false,
"tie_break_used": false
},
"seeds": [
0,
1,
2
]
}
@@ -0,0 +1,19 @@
seed,aggregation,beta,test_rare_macro_f1,test_rare_recall,test_macro_f1,test_accuracy,test_weighted_f1,test_rare_support
0,support_weighted_beta0,0.0,0.9003666441325199,0.9596509084761253,0.8536082762406271,0.7468921814151832,0.7208341800082392,28000
0,support_weighted_beta0.25,0.25,0.9016810209812478,0.9599813928066098,0.8551122393463736,0.7485165126636154,0.7226566816041684,28000
0,support_weighted_beta0.5,0.5,0.9044472051910231,0.9586662658643216,0.8573089581866151,0.7495075603367095,0.7238852910350473,28000
0,support_weighted_beta0.75,0.75,0.9042142097225311,0.9611505963486519,0.8574319851947483,0.75032178207643,0.7248065733265142,28000
0,support_weighted_beta1,1.0,0.9007977068094508,0.9643642715623272,0.8551744417499578,0.7504040266966037,0.7249623247616092,28000
0,original_protean,,0.9055885946257963,0.9612851237375019,0.8571092007836155,0.7470484461935134,0.7210591954237406,28000
1,support_weighted_beta0,0.0,0.8554425770447295,0.9593132476684664,0.8263852185473981,0.7542037281486325,0.7301607716784241,28000
1,support_weighted_beta0.25,0.25,0.8891854090863159,0.9596585021848357,0.8489384951455141,0.7543435440029279,0.73005747645949,28000
1,support_weighted_beta0.5,0.5,0.9057207431633723,0.9597228673347585,0.8599385529838828,0.7543805540820061,0.7301094421086752,28000
1,support_weighted_beta0.75,0.75,0.9045835958215589,0.959935370265466,0.8591739126549254,0.7543928907750321,0.7301387783462848,28000
1,support_weighted_beta1,1.0,0.9038488182942092,0.9596846580147537,0.8585736615366666,0.7539775554431546,0.7295306810637099,28000
1,original_protean,,0.8607580175603599,0.9590357221091453,0.8298666656506455,0.7540721367563544,0.7299504931440421,28000
2,support_weighted_beta0,0.0,0.8735681435384803,0.9630479072951951,0.8374129689063486,0.7518556442426709,0.7273122511564744,28000
2,support_weighted_beta0.25,0.25,0.8674169167938374,0.9605253778582233,0.8335098056788162,0.7521476126442879,0.7274878068658297,28000
2,support_weighted_beta0.5,0.5,0.8800449253698305,0.960715099133502,0.842201195406295,0.7529330487669476,0.7284075566369677,28000
2,support_weighted_beta0.75,0.75,0.856971624057104,0.9598456488276427,0.826257722947289,0.751127779354133,0.7261548984454341,28000
2,support_weighted_beta1,1.0,0.8788313430254061,0.9595949365769304,0.8413127745570504,0.7527685595265999,0.7282933528183856,28000
2,original_protean,,0.8733557623287002,0.9633214115686995,0.8372382392225877,0.7517446140054364,0.7271326093968319,28000
1 seed aggregation beta test_rare_macro_f1 test_rare_recall test_macro_f1 test_accuracy test_weighted_f1 test_rare_support
2 0 support_weighted_beta0 0.0 0.9003666441325199 0.9596509084761253 0.8536082762406271 0.7468921814151832 0.7208341800082392 28000
3 0 support_weighted_beta0.25 0.25 0.9016810209812478 0.9599813928066098 0.8551122393463736 0.7485165126636154 0.7226566816041684 28000
4 0 support_weighted_beta0.5 0.5 0.9044472051910231 0.9586662658643216 0.8573089581866151 0.7495075603367095 0.7238852910350473 28000
5 0 support_weighted_beta0.75 0.75 0.9042142097225311 0.9611505963486519 0.8574319851947483 0.75032178207643 0.7248065733265142 28000
6 0 support_weighted_beta1 1.0 0.9007977068094508 0.9643642715623272 0.8551744417499578 0.7504040266966037 0.7249623247616092 28000
7 0 original_protean 0.9055885946257963 0.9612851237375019 0.8571092007836155 0.7470484461935134 0.7210591954237406 28000
8 1 support_weighted_beta0 0.0 0.8554425770447295 0.9593132476684664 0.8263852185473981 0.7542037281486325 0.7301607716784241 28000
9 1 support_weighted_beta0.25 0.25 0.8891854090863159 0.9596585021848357 0.8489384951455141 0.7543435440029279 0.73005747645949 28000
10 1 support_weighted_beta0.5 0.5 0.9057207431633723 0.9597228673347585 0.8599385529838828 0.7543805540820061 0.7301094421086752 28000
11 1 support_weighted_beta0.75 0.75 0.9045835958215589 0.959935370265466 0.8591739126549254 0.7543928907750321 0.7301387783462848 28000
12 1 support_weighted_beta1 1.0 0.9038488182942092 0.9596846580147537 0.8585736615366666 0.7539775554431546 0.7295306810637099 28000
13 1 original_protean 0.8607580175603599 0.9590357221091453 0.8298666656506455 0.7540721367563544 0.7299504931440421 28000
14 2 support_weighted_beta0 0.0 0.8735681435384803 0.9630479072951951 0.8374129689063486 0.7518556442426709 0.7273122511564744 28000
15 2 support_weighted_beta0.25 0.25 0.8674169167938374 0.9605253778582233 0.8335098056788162 0.7521476126442879 0.7274878068658297 28000
16 2 support_weighted_beta0.5 0.5 0.8800449253698305 0.960715099133502 0.842201195406295 0.7529330487669476 0.7284075566369677 28000
17 2 support_weighted_beta0.75 0.75 0.856971624057104 0.9598456488276427 0.826257722947289 0.751127779354133 0.7261548984454341 28000
18 2 support_weighted_beta1 1.0 0.8788313430254061 0.9595949365769304 0.8413127745570504 0.7527685595265999 0.7282933528183856 28000
19 2 original_protean 0.8733557623287002 0.9633214115686995 0.8372382392225877 0.7517446140054364 0.7271326093968319 28000
@@ -0,0 +1,16 @@
seed,beta,eligible_clients,val_rare_macro_f1_per_client_mean,val_rare_macro_f1_global,val_rare_recall_per_client_mean,val_rare_recall_global,val_macro_f1_global,val_accuracy_global,val_weighted_f1_global,manifest_content_hash,manifest_reload_ok
0,0.0,10,0.8346812150435289,0.8962674319644001,0.9641603402125606,0.9552381318940723,0.8511402632626045,0.7474853810788805,0.7219029904441242,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,True
0,0.25,10,0.8233880652352761,0.8992243529683644,0.9640278898814347,0.9555424557773051,0.8537503068226969,0.7491549400027963,0.7237960403185049,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,True
0,0.5,10,0.8367915113248682,0.9015882257423011,0.9631193633913686,0.9542284353862854,0.8556998323364052,0.7501912179555716,0.7250666886257108,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,True
0,0.75,10,0.824666613023955,0.9017654735602499,0.9643776415370638,0.9571743816449568,0.8561623421742206,0.7511781493391672,0.726181514887262,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,True
0,1.0,10,0.8157740878405881,0.8965239659052112,0.965768370013885,0.9606845931693916,0.8527283867871179,0.7513344134749032,0.7263882839010629,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,True
1,0.0,10,0.7637873805763926,0.8601286278686943,0.9413534116693878,0.9606400538209888,0.8292132382156505,0.7534892136624202,0.7291712838547688,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,True
1,0.25,10,0.8211896498755635,0.8962852599872769,0.9413997079656842,0.9609055279911431,0.8533928079401024,0.7536865999391392,0.7291929070361066,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,True
1,0.5,10,0.8488357739260719,0.9164750175767309,0.9414460042619803,0.9612609480900093,0.8667709270192069,0.7535550090879931,0.729016831192462,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,True
1,0.75,10,0.8332548296333613,0.9132188740132466,0.9414923005582766,0.9614205031593017,0.8646209763420809,0.7536619266545493,0.7291811176439271,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,True
1,1.0,10,0.852468519962429,0.9111916138104398,0.9415848931508692,0.9613749159966467,0.8631903272629228,0.7533000518138976,0.7286108499920018,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,True
2,0.0,10,0.7358123006675059,0.870022246885565,0.9740598780518532,0.9583691150145496,0.835201875292623,0.7521979784355493,0.7278256548649049,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,True
2,0.25,10,0.7268712905353711,0.8624428869497635,0.9734143381457498,0.9557934403245422,0.8303136765079273,0.7523789158558751,0.7279109819119642,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,True
2,0.5,10,0.7416170177371404,0.874029135539173,0.9732382818077218,0.9560897568817998,0.8382792160273324,0.7530779922525886,0.7287246908030826,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,True
2,0.75,10,0.7166684940811491,0.8507958177450771,0.9730035400236842,0.9550184585594073,0.822193807116818,0.7511699249109706,0.7263360350235979,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,True
2,1.0,10,0.7446767781808716,0.8741548493571188,0.9727687982396466,0.9547677291648048,0.83825946755765,0.7528806059758695,0.7285763091356096,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,True
1 seed beta eligible_clients val_rare_macro_f1_per_client_mean val_rare_macro_f1_global val_rare_recall_per_client_mean val_rare_recall_global val_macro_f1_global val_accuracy_global val_weighted_f1_global manifest_content_hash manifest_reload_ok
2 0 0.0 10 0.8346812150435289 0.8962674319644001 0.9641603402125606 0.9552381318940723 0.8511402632626045 0.7474853810788805 0.7219029904441242 96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5 True
3 0 0.25 10 0.8233880652352761 0.8992243529683644 0.9640278898814347 0.9555424557773051 0.8537503068226969 0.7491549400027963 0.7237960403185049 96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5 True
4 0 0.5 10 0.8367915113248682 0.9015882257423011 0.9631193633913686 0.9542284353862854 0.8556998323364052 0.7501912179555716 0.7250666886257108 96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5 True
5 0 0.75 10 0.824666613023955 0.9017654735602499 0.9643776415370638 0.9571743816449568 0.8561623421742206 0.7511781493391672 0.726181514887262 96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5 True
6 0 1.0 10 0.8157740878405881 0.8965239659052112 0.965768370013885 0.9606845931693916 0.8527283867871179 0.7513344134749032 0.7263882839010629 96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5 True
7 1 0.0 10 0.7637873805763926 0.8601286278686943 0.9413534116693878 0.9606400538209888 0.8292132382156505 0.7534892136624202 0.7291712838547688 007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3 True
8 1 0.25 10 0.8211896498755635 0.8962852599872769 0.9413997079656842 0.9609055279911431 0.8533928079401024 0.7536865999391392 0.7291929070361066 007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3 True
9 1 0.5 10 0.8488357739260719 0.9164750175767309 0.9414460042619803 0.9612609480900093 0.8667709270192069 0.7535550090879931 0.729016831192462 007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3 True
10 1 0.75 10 0.8332548296333613 0.9132188740132466 0.9414923005582766 0.9614205031593017 0.8646209763420809 0.7536619266545493 0.7291811176439271 007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3 True
11 1 1.0 10 0.852468519962429 0.9111916138104398 0.9415848931508692 0.9613749159966467 0.8631903272629228 0.7533000518138976 0.7286108499920018 007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3 True
12 2 0.0 10 0.7358123006675059 0.870022246885565 0.9740598780518532 0.9583691150145496 0.835201875292623 0.7521979784355493 0.7278256548649049 3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d True
13 2 0.25 10 0.7268712905353711 0.8624428869497635 0.9734143381457498 0.9557934403245422 0.8303136765079273 0.7523789158558751 0.7279109819119642 3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d True
14 2 0.5 10 0.7416170177371404 0.874029135539173 0.9732382818077218 0.9560897568817998 0.8382792160273324 0.7530779922525886 0.7287246908030826 3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d True
15 2 0.75 10 0.7166684940811491 0.8507958177450771 0.9730035400236842 0.9550184585594073 0.822193807116818 0.7511699249109706 0.7263360350235979 3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d True
16 2 1.0 10 0.7446767781808716 0.8741548493571188 0.9727687982396466 0.9547677291648048 0.83825946755765 0.7528806059758695 0.7285763091356096 3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d True
@@ -0,0 +1,6 @@
beta,n_seeds,pooled_val_rare_macro_f1_per_client_mean,std_sample_val_rare_macro_f1,std_pop_val_rare_macro_f1,min_val_rare_macro_f1,max_val_rare_macro_f1,pooled_val_rare_recall_per_client_mean,pooled_val_rare_recall_global
0.0,3,0.7780936320958092,0.05096339060419691,0.04161143418081097,0.7358123006675059,0.8346812150435289,0.9598578766446005,0.9580824335765369
0.25,3,0.7904830018820702,0.05510032325554253,0.04498922554616295,0.7268712905353711,0.8233880652352761,0.9596139786642895,0.9574138080309967
0.5,3,0.8090814343293601,0.05873543815277214,0.04795728443103037,0.7416170177371404,0.8488357739260719,0.9592678831536903,0.9571930467860316
0.75,3,0.7915299789128217,0.06497400095064636,0.05305104962539758,0.7166684940811491,0.8332548296333613,0.9596244940396749,0.9578711144545552
1.0,3,0.8043064619946296,0.05480323650098284,0.04474665522682604,0.7446767781808716,0.852468519962429,0.9600406871348003,0.9589424127769477
1 beta n_seeds pooled_val_rare_macro_f1_per_client_mean std_sample_val_rare_macro_f1 std_pop_val_rare_macro_f1 min_val_rare_macro_f1 max_val_rare_macro_f1 pooled_val_rare_recall_per_client_mean pooled_val_rare_recall_global
2 0.0 3 0.7780936320958092 0.05096339060419691 0.04161143418081097 0.7358123006675059 0.8346812150435289 0.9598578766446005 0.9580824335765369
3 0.25 3 0.7904830018820702 0.05510032325554253 0.04498922554616295 0.7268712905353711 0.8233880652352761 0.9596139786642895 0.9574138080309967
4 0.5 3 0.8090814343293601 0.05873543815277214 0.04795728443103037 0.7416170177371404 0.8488357739260719 0.9592678831536903 0.9571930467860316
5 0.75 3 0.7915299789128217 0.06497400095064636 0.05305104962539758 0.7166684940811491 0.8332548296333613 0.9596244940396749 0.9578711144545552
6 1.0 3 0.8043064619946296 0.05480323650098284 0.04474665522682604 0.7446767781808716 0.852468519962429 0.9600406871348003 0.9589424127769477
@@ -0,0 +1,31 @@
seed,client_id,client_total,n_missing_attack_classes,n_positive_attack_classes,rare_class_ids,rare_class_names,rare_supports,unseen_class_ids,unseen_class_names,eligible_for_rare_eval
0,0,77880,1,7,5|4,SlowrateDoS|SYNScan,2|252,2,ICMPFlood,True
0,1,97748,0,8,3|4,SYNFlood|SYNScan,26|82,,,True
0,2,143547,0,8,3|2,SYNFlood|ICMPFlood,50|80,,,True
0,3,86837,1,7,6|4,TCPConnectScan|SYNScan,363|697,2,ICMPFlood,True
0,4,42381,1,7,2|6,ICMPFlood|TCPConnectScan,54|1926,3,SYNFlood,True
0,5,49484,0,8,2|3,ICMPFlood|SYNFlood,143|180,,,True
0,6,93686,0,8,2|8,ICMPFlood|UDPScan,53|429,,,True
0,7,38839,0,8,3|2,SYNFlood|ICMPFlood,100|101,,,True
0,8,80087,0,8,8|2,UDPScan|ICMPFlood,74|113,,,True
0,9,140634,0,8,2|6,ICMPFlood|TCPConnectScan,25|52,,,True
1,0,36687,0,8,2|3,ICMPFlood|SYNFlood,27|576,,,True
1,1,46522,0,8,2|6,ICMPFlood|TCPConnectScan,25|737,,,True
1,2,45258,0,8,2|4,ICMPFlood|SYNScan,30|133,,,True
1,3,202829,1,7,3|5,SYNFlood|SlowrateDoS,229|514,2,ICMPFlood,True
1,4,17861,0,8,2|3,ICMPFlood|SYNFlood,15|57,,,True
1,5,115584,0,8,2|3,ICMPFlood|SYNFlood,37|830,,,True
1,6,52144,1,7,2|8,ICMPFlood|UDPScan,15|40,4,SYNScan,True
1,7,116644,0,8,8|3,UDPScan|SYNFlood,5|72,,,True
1,8,127130,0,8,2|8,ICMPFlood|UDPScan,134|152,,,True
1,9,90464,0,8,8|2,UDPScan|ICMPFlood,188|285,,,True
2,0,78791,0,8,2|5,ICMPFlood|SlowrateDoS,88|335,,,True
2,1,107810,0,8,2|8,ICMPFlood|UDPScan,8|562,,,True
2,2,58432,0,8,2|6,ICMPFlood|TCPConnectScan,35|105,,,True
2,3,65107,0,8,3|2,SYNFlood|ICMPFlood,6|25,,,True
2,4,49537,0,8,2|3,ICMPFlood|SYNFlood,41|110,,,True
2,5,71485,0,8,2|8,ICMPFlood|UDPScan,19|238,,,True
2,6,191908,0,8,3|2,SYNFlood|ICMPFlood,185|251,,,True
2,7,89114,0,8,3|4,SYNFlood|SYNScan,59|160,,,True
2,8,62795,0,8,2|4,ICMPFlood|SYNScan,1|91,,,True
2,9,76144,0,8,2|6,ICMPFlood|TCPConnectScan,70|404,,,True
1 seed client_id client_total n_missing_attack_classes n_positive_attack_classes rare_class_ids rare_class_names rare_supports unseen_class_ids unseen_class_names eligible_for_rare_eval
2 0 0 77880 1 7 5|4 SlowrateDoS|SYNScan 2|252 2 ICMPFlood True
3 0 1 97748 0 8 3|4 SYNFlood|SYNScan 26|82 True
4 0 2 143547 0 8 3|2 SYNFlood|ICMPFlood 50|80 True
5 0 3 86837 1 7 6|4 TCPConnectScan|SYNScan 363|697 2 ICMPFlood True
6 0 4 42381 1 7 2|6 ICMPFlood|TCPConnectScan 54|1926 3 SYNFlood True
7 0 5 49484 0 8 2|3 ICMPFlood|SYNFlood 143|180 True
8 0 6 93686 0 8 2|8 ICMPFlood|UDPScan 53|429 True
9 0 7 38839 0 8 3|2 SYNFlood|ICMPFlood 100|101 True
10 0 8 80087 0 8 8|2 UDPScan|ICMPFlood 74|113 True
11 0 9 140634 0 8 2|6 ICMPFlood|TCPConnectScan 25|52 True
12 1 0 36687 0 8 2|3 ICMPFlood|SYNFlood 27|576 True
13 1 1 46522 0 8 2|6 ICMPFlood|TCPConnectScan 25|737 True
14 1 2 45258 0 8 2|4 ICMPFlood|SYNScan 30|133 True
15 1 3 202829 1 7 3|5 SYNFlood|SlowrateDoS 229|514 2 ICMPFlood True
16 1 4 17861 0 8 2|3 ICMPFlood|SYNFlood 15|57 True
17 1 5 115584 0 8 2|3 ICMPFlood|SYNFlood 37|830 True
18 1 6 52144 1 7 2|8 ICMPFlood|UDPScan 15|40 4 SYNScan True
19 1 7 116644 0 8 8|3 UDPScan|SYNFlood 5|72 True
20 1 8 127130 0 8 2|8 ICMPFlood|UDPScan 134|152 True
21 1 9 90464 0 8 8|2 UDPScan|ICMPFlood 188|285 True
22 2 0 78791 0 8 2|5 ICMPFlood|SlowrateDoS 88|335 True
23 2 1 107810 0 8 2|8 ICMPFlood|UDPScan 8|562 True
24 2 2 58432 0 8 2|6 ICMPFlood|TCPConnectScan 35|105 True
25 2 3 65107 0 8 3|2 SYNFlood|ICMPFlood 6|25 True
26 2 4 49537 0 8 2|3 ICMPFlood|SYNFlood 41|110 True
27 2 5 71485 0 8 2|8 ICMPFlood|UDPScan 19|238 True
28 2 6 191908 0 8 3|2 SYNFlood|ICMPFlood 185|251 True
29 2 7 89114 0 8 3|4 SYNFlood|SYNScan 59|160 True
30 2 8 62795 0 8 2|4 ICMPFlood|SYNScan 1|91 True
31 2 9 76144 0 8 2|6 ICMPFlood|TCPConnectScan 70|404 True
@@ -0,0 +1,111 @@
{
"alphas": [
0.75
],
"dataset": "5gnidd",
"per_class": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_class.csv",
"per_seed": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv",
"per_seed_rows": [
{
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"client_size_max": 143547,
"client_size_min": 38839,
"client_size_ratio": 3.6959499472180024,
"dataset": "5gnidd",
"manifest_content_hash": "96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5",
"max_unseen_on_client": 1,
"n_cells_sj_lt_M": 2,
"n_class_condition_cells": 9,
"n_clients_2_rare": 10,
"n_missing_client_class_cells": 3,
"nij_sum": 851123,
"num_classes": 9,
"num_clients": 10,
"num_train": 851123,
"partition_hash": "74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8",
"rng_seed": 892370747,
"seed": 0,
"split_hash": "18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7",
"support_cv_max": 1.2651419073123291,
"support_cv_mean": 0.9692475038471602,
"support_max_min_ratio_max": 7642.5,
"union_rare_count": 6,
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},
{
"alpha": 0.75,
"client_size_max": 202829,
"client_size_min": 17861,
"client_size_ratio": 11.355971110240189,
"dataset": "5gnidd",
"manifest_content_hash": "007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3",
"max_unseen_on_client": 1,
"n_cells_sj_lt_M": 2,
"n_class_condition_cells": 9,
"n_clients_2_rare": 10,
"n_missing_client_class_cells": 2,
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"partition_hash": "fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c",
"rng_seed": 1817661572,
"seed": 1,
"split_hash": "3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e",
"support_cv_max": 1.103376116305731,
"support_cv_mean": 0.8540793111089487,
"support_max_min_ratio_max": 545.4,
"union_rare_count": 6,
"union_unseen_count": 2
},
{
"alpha": 0.75,
"client_size_max": 191908,
"client_size_min": 49537,
"client_size_ratio": 3.87403355067929,
"dataset": "5gnidd",
"manifest_content_hash": "3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d",
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"num_classes": 9,
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"rng_seed": 306220443,
"seed": 2,
"split_hash": "fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f",
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"union_rare_count": 6,
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],
"seeds": [
0,
1,
2
],
"summary": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_summary.csv",
"summary_rows": [
{
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"cells_sj_lt_M_total": 4,
"cells_total": 27,
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"client_size_ratio_mean": 6.308651536045827,
"dataset": "5gnidd",
"max_unseen_on_client": 1,
"missing_client_class_cells_total": 5,
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"union_rare_mean": 6.0,
"union_unseen_mean": 1.3333333333333333
}
]
}
@@ -0,0 +1,28 @@
dataset,alpha,seed,class_id,class_name,total,num_clients,n_missing_clients,min,max,mean,std,cv,max_min_ratio
5gnidd,0.75,0,0,Benign,334415,10,0,1410,69384,33441.5,23619.248452268755,0.706285556935806,49.208510638297874
5gnidd,0.75,0,1,HTTPFlood,98569,10,0,557,27843,9856.9,9709.981765688337,0.9850948843640838,49.987432675044886
5gnidd,0.75,0,2,ICMPFlood,808,8,2,25,239,101.0,62.930517239253646,0.6230744281114222,9.56
5gnidd,0.75,0,3,SYNFlood,6805,9,1,26,3213,756.1111111111111,956.5878532511555,1.2651419073123291,123.57692307692308
5gnidd,0.75,0,4,SYNScan,14030,10,0,82,4335,1403.0,1341.5857035612746,0.9562264458740375,52.86585365853659
5gnidd,0.75,0,5,SlowrateDoS,51187,10,0,2,15285,5118.7,5679.8754748673855,1.109632421292005,7642.5
5gnidd,0.75,0,6,TCPConnectScan,14037,10,0,52,3531,1403.7,1167.4861926378403,0.8317205903240296,67.90384615384616
5gnidd,0.75,0,7,UDPFlood,320138,10,0,2320,124158,32013.8,36460.358401420024,1.1388950515533933,53.516379310344824
5gnidd,0.75,0,8,UDPScan,11134,10,0,74,3370,1113.4,1232.7077674777586,1.1071562488573365,45.54054054054054
5gnidd,0.75,1,0,Benign,334415,10,0,3896,83388,33441.5,30605.998007743514,0.9152100835113112,21.403490759753595
5gnidd,0.75,1,1,HTTPFlood,98569,10,0,621,25248,9856.9,6960.070365305224,0.7061114919807672,40.65700483091788
5gnidd,0.75,1,2,ICMPFlood,808,9,1,15,285,89.77777777777777,99.0586557750034,1.103376116305731,19.0
5gnidd,0.75,1,3,SYNFlood,6805,10,0,57,2358,680.5,692.489025183793,1.0176179650019002,41.36842105263158
5gnidd,0.75,1,4,SYNScan,14030,9,1,133,3883,1558.888888888889,1236.704172337323,0.7933241305086177,29.195488721804512
5gnidd,0.75,1,5,SlowrateDoS,51187,10,0,514,12114,5118.7,3205.4039698608976,0.6262144626293585,23.56809338521401
5gnidd,0.75,1,6,TCPConnectScan,14037,10,0,326,2861,1403.7,788.4842484159084,0.5617184928516836,8.776073619631902
5gnidd,0.75,1,7,UDPFlood,320138,10,0,1031,114825,32013.8,33884.0853050514,1.0584212216310278,111.37245392822503
5gnidd,0.75,1,8,UDPScan,11134,10,0,5,2727,1113.4,1007.3150649126618,0.9047198355601417,545.4
5gnidd,0.75,2,0,Benign,334415,10,0,536,118638,33441.5,34208.390085620806,1.0229322872963476,221.33955223880596
5gnidd,0.75,2,1,HTTPFlood,98569,10,0,1484,25410,9856.9,6717.955514142677,0.6815485106009675,17.12264150943396
5gnidd,0.75,2,2,ICMPFlood,808,10,0,1,270,80.8,93.3892927481518,1.1558080785662352,270.0
5gnidd,0.75,2,3,SYNFlood,6805,10,0,6,2670,680.5,810.6782654049632,1.1912979653269113,445.0
5gnidd,0.75,2,4,SYNScan,14030,10,0,91,4022,1403.0,1290.3725818537837,0.9197238644716919,44.1978021978022
5gnidd,0.75,2,5,SlowrateDoS,51187,10,0,99,18020,5118.7,4987.431263686748,0.9743550635291672,182.02020202020202
5gnidd,0.75,2,6,TCPConnectScan,14037,10,0,84,3335,1403.7,1073.5125569829167,0.7647734964614353,39.70238095238095
5gnidd,0.75,2,7,UDPFlood,320138,10,0,2637,63416,32013.8,21351.952298560427,0.6669608824494571,24.048540007584375
5gnidd,0.75,2,8,UDPScan,11134,10,0,37,3282,1113.4,1058.092925975786,0.9503259618967003,88.70270270270271
1 dataset alpha seed class_id class_name total num_clients n_missing_clients min max mean std cv max_min_ratio
2 5gnidd 0.75 0 0 Benign 334415 10 0 1410 69384 33441.5 23619.248452268755 0.706285556935806 49.208510638297874
3 5gnidd 0.75 0 1 HTTPFlood 98569 10 0 557 27843 9856.9 9709.981765688337 0.9850948843640838 49.987432675044886
4 5gnidd 0.75 0 2 ICMPFlood 808 8 2 25 239 101.0 62.930517239253646 0.6230744281114222 9.56
5 5gnidd 0.75 0 3 SYNFlood 6805 9 1 26 3213 756.1111111111111 956.5878532511555 1.2651419073123291 123.57692307692308
6 5gnidd 0.75 0 4 SYNScan 14030 10 0 82 4335 1403.0 1341.5857035612746 0.9562264458740375 52.86585365853659
7 5gnidd 0.75 0 5 SlowrateDoS 51187 10 0 2 15285 5118.7 5679.8754748673855 1.109632421292005 7642.5
8 5gnidd 0.75 0 6 TCPConnectScan 14037 10 0 52 3531 1403.7 1167.4861926378403 0.8317205903240296 67.90384615384616
9 5gnidd 0.75 0 7 UDPFlood 320138 10 0 2320 124158 32013.8 36460.358401420024 1.1388950515533933 53.516379310344824
10 5gnidd 0.75 0 8 UDPScan 11134 10 0 74 3370 1113.4 1232.7077674777586 1.1071562488573365 45.54054054054054
11 5gnidd 0.75 1 0 Benign 334415 10 0 3896 83388 33441.5 30605.998007743514 0.9152100835113112 21.403490759753595
12 5gnidd 0.75 1 1 HTTPFlood 98569 10 0 621 25248 9856.9 6960.070365305224 0.7061114919807672 40.65700483091788
13 5gnidd 0.75 1 2 ICMPFlood 808 9 1 15 285 89.77777777777777 99.0586557750034 1.103376116305731 19.0
14 5gnidd 0.75 1 3 SYNFlood 6805 10 0 57 2358 680.5 692.489025183793 1.0176179650019002 41.36842105263158
15 5gnidd 0.75 1 4 SYNScan 14030 9 1 133 3883 1558.888888888889 1236.704172337323 0.7933241305086177 29.195488721804512
16 5gnidd 0.75 1 5 SlowrateDoS 51187 10 0 514 12114 5118.7 3205.4039698608976 0.6262144626293585 23.56809338521401
17 5gnidd 0.75 1 6 TCPConnectScan 14037 10 0 326 2861 1403.7 788.4842484159084 0.5617184928516836 8.776073619631902
18 5gnidd 0.75 1 7 UDPFlood 320138 10 0 1031 114825 32013.8 33884.0853050514 1.0584212216310278 111.37245392822503
19 5gnidd 0.75 1 8 UDPScan 11134 10 0 5 2727 1113.4 1007.3150649126618 0.9047198355601417 545.4
20 5gnidd 0.75 2 0 Benign 334415 10 0 536 118638 33441.5 34208.390085620806 1.0229322872963476 221.33955223880596
21 5gnidd 0.75 2 1 HTTPFlood 98569 10 0 1484 25410 9856.9 6717.955514142677 0.6815485106009675 17.12264150943396
22 5gnidd 0.75 2 2 ICMPFlood 808 10 0 1 270 80.8 93.3892927481518 1.1558080785662352 270.0
23 5gnidd 0.75 2 3 SYNFlood 6805 10 0 6 2670 680.5 810.6782654049632 1.1912979653269113 445.0
24 5gnidd 0.75 2 4 SYNScan 14030 10 0 91 4022 1403.0 1290.3725818537837 0.9197238644716919 44.1978021978022
25 5gnidd 0.75 2 5 SlowrateDoS 51187 10 0 99 18020 5118.7 4987.431263686748 0.9743550635291672 182.02020202020202
26 5gnidd 0.75 2 6 TCPConnectScan 14037 10 0 84 3335 1403.7 1073.5125569829167 0.7647734964614353 39.70238095238095
27 5gnidd 0.75 2 7 UDPFlood 320138 10 0 2637 63416 32013.8 21351.952298560427 0.6669608824494571 24.048540007584375
28 5gnidd 0.75 2 8 UDPScan 11134 10 0 37 3282 1113.4 1058.092925975786 0.9503259618967003 88.70270270270271
@@ -0,0 +1,4 @@
dataset,alpha,seed,num_clients,num_classes,num_train,nij_sum,n_class_condition_cells,n_cells_sj_lt_M,n_missing_client_class_cells,client_size_min,client_size_max,client_size_ratio,union_rare_count,union_unseen_count,max_unseen_on_client,n_clients_2_rare,support_cv_mean,support_cv_max,support_max_min_ratio_max,manifest_content_hash,partition_hash,split_hash,rng_seed
5gnidd,0.75,0,10,9,851123,851123,9,2,3,38839,143547,3.6959499472180024,6,2,1,10,0.9692475038471602,1.2651419073123291,7642.5,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8,18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7,892370747
5gnidd,0.75,1,10,9,851123,851123,9,2,2,17861,202829,11.355971110240189,6,2,1,10,0.8540793111089487,1.103376116305731,545.4,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c,3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e,1817661572
5gnidd,0.75,2,10,9,851123,851123,9,0,0,49537,191908,3.87403355067929,6,0,0,10,0.925302901177657,1.1912979653269113,445.0,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86,fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f,306220443
1 dataset alpha seed num_clients num_classes num_train nij_sum n_class_condition_cells n_cells_sj_lt_M n_missing_client_class_cells client_size_min client_size_max client_size_ratio union_rare_count union_unseen_count max_unseen_on_client n_clients_2_rare support_cv_mean support_cv_max support_max_min_ratio_max manifest_content_hash partition_hash split_hash rng_seed
2 5gnidd 0.75 0 10 9 851123 851123 9 2 3 38839 143547 3.6959499472180024 6 2 1 10 0.9692475038471602 1.2651419073123291 7642.5 96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5 74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8 18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7 892370747
3 5gnidd 0.75 1 10 9 851123 851123 9 2 2 17861 202829 11.355971110240189 6 2 1 10 0.8540793111089487 1.103376116305731 545.4 007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3 fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c 3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e 1817661572
4 5gnidd 0.75 2 10 9 851123 851123 9 0 0 49537 191908 3.87403355067929 6 0 0 10 0.925302901177657 1.1912979653269113 445.0 3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d 4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86 fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f 306220443
@@ -0,0 +1,2 @@
dataset,alpha,n_seeds,cells_sj_lt_M_total,cells_total,missing_client_class_cells_total,client_size_ratio_mean,client_size_ratio_max,union_unseen_mean,max_unseen_on_client,union_rare_mean,support_cv_mean,support_max_min_ratio_max
5gnidd,0.75,3,4,27,5,6.308651536045827,11.355971110240189,1.3333333333333333,1,6.0,0.9162099053779219,7642.5
1 dataset alpha n_seeds cells_sj_lt_M_total cells_total missing_client_class_cells_total client_size_ratio_mean client_size_ratio_max union_unseen_mean max_unseen_on_client union_rare_mean support_cv_mean support_max_min_ratio_max
2 5gnidd 0.75 3 4 27 5 6.308651536045827 11.355971110240189 1.3333333333333333 1 6.0 0.9162099053779219 7642.5
@@ -0,0 +1,46 @@
class_id,class_name,beta,n_contributors,support_min,support_max,support_mean,prototype_norm,reference_norm_beta0,displacement_from_beta0,relative_displacement
0,Benign,0.0,10,1410,69384,33441.5,6.153241255427796,6.153241255427796,0.0,0.0
0,Benign,0.25,10,1410,69384,33441.5,6.313789765511587,6.153241255427796,0.2796561970193524,0.04544859943085552
0,Benign,0.5,10,1410,69384,33441.5,6.419317151772786,6.153241255427796,0.4625154250998284,0.07516614510959438
0,Benign,0.75,10,1410,69384,33441.5,6.480873273423168,6.153241255427796,0.5767736481429079,0.09373493159140052
0,Benign,1.0,10,1410,69384,33441.5,6.513478897708157,6.153241255427796,0.6497236186430407,0.10559046714931213
1,HTTPFlood,0.0,10,557,27843,9856.9,7.42789590531035,7.42789590531035,0.0,0.0
1,HTTPFlood,0.25,10,557,27843,9856.9,7.949353221544867,7.42789590531035,0.6662283784528569,0.0896927456908163
1,HTTPFlood,0.5,10,557,27843,9856.9,8.40203969697062,7.42789590531035,1.2244302878861635,0.16484214419466944
1,HTTPFlood,0.75,10,557,27843,9856.9,8.761864107372237,7.42789590531035,1.6585065333294826,0.22328079909463774
1,HTTPFlood,1.0,10,557,27843,9856.9,9.030153700349349,7.42789590531035,1.9786465808777682,0.2663804940323941
2,ICMPFlood,0.0,8,25,239,101.0,3.92300484863223,3.92300484863223,0.0,0.0
2,ICMPFlood,0.25,8,25,239,101.0,3.9112306708422007,3.92300484863223,0.08345694344366894,0.02127372936405279
2,ICMPFlood,0.5,8,25,239,101.0,3.9083745835755863,3.92300484863223,0.15965710237974665,0.040697656143711285
2,ICMPFlood,0.75,8,25,239,101.0,3.9134258651326665,3.92300484863223,0.2343419660332571,0.05973532408836081
2,ICMPFlood,1.0,8,25,239,101.0,3.9254881373623185,3.92300484863223,0.31202266651849364,0.07953665074548187
3,SYNFlood,0.0,9,26,3213,756.1111111111111,3.300037149939064,3.300037149939064,0.0,0.0
3,SYNFlood,0.25,9,26,3213,756.1111111111111,3.3130064494428586,3.300037149939064,0.5811365216491851,0.17609999380155944
3,SYNFlood,0.5,9,26,3213,756.1111111111111,3.3922895364334265,3.300037149939064,1.0786419403609617,0.32685751443158123
3,SYNFlood,0.75,9,26,3213,756.1111111111111,3.486327381293389,3.300037149939064,1.479326060470779,0.4482755778970837
3,SYNFlood,1.0,9,26,3213,756.1111111111111,3.569876550242581,3.300037149939064,1.7990563432642253,0.5451624516704139
4,SYNScan,0.0,10,82,4335,1403.0,7.4846063066488755,7.4846063066488755,0.0,0.0
4,SYNScan,0.25,10,82,4335,1403.0,7.843362761328482,7.4846063066488755,0.7094467363698403,0.09478744870516574
4,SYNScan,0.5,10,82,4335,1403.0,8.197271316930058,7.4846063066488755,1.274995172626633,0.17034899637860762
4,SYNScan,0.75,10,82,4335,1403.0,8.508956916248394,7.4846063066488755,1.7009060393061817,0.22725390883889227
4,SYNScan,1.0,10,82,4335,1403.0,8.767155364063447,7.4846063066488755,2.0148719426654047,0.2692021276891362
5,SlowrateDoS,0.0,10,2,15285,5118.7,5.922674795598587,5.922674795598587,0.0,0.0
5,SlowrateDoS,0.25,10,2,15285,5118.7,6.522344031035285,5.922674795598587,1.1412765131443214,0.19269613013236125
5,SlowrateDoS,0.5,10,2,15285,5118.7,6.914303390690607,5.922674795598587,1.7342569160895378,0.29281650199304277
5,SlowrateDoS,0.75,10,2,15285,5118.7,7.161394938793151,5.922674795598587,2.0844451216445647,0.3519432002570211
5,SlowrateDoS,1.0,10,2,15285,5118.7,7.306953561965431,5.922674795598587,2.2913090219189884,0.38687064561129814
6,TCPConnectScan,0.0,10,52,3531,1403.7,3.9223157086637572,3.9223157086637572,0.0,0.0
6,TCPConnectScan,0.25,10,52,3531,1403.7,4.069528406438392,3.9223157086637572,0.565939919979383,0.14428719206088225
6,TCPConnectScan,0.5,10,52,3531,1403.7,4.241070122591719,3.9223157086637572,1.0174215972406544,0.2593930914315071
6,TCPConnectScan,0.75,10,52,3531,1403.7,4.39754779378294,3.9223157086637572,1.3603032767403593,0.3468112660425755
6,TCPConnectScan,1.0,10,52,3531,1403.7,4.524467428288578,3.9223157086637572,1.6138606377812053,0.411456077902258
7,UDPFlood,0.0,10,2320,124158,32013.8,5.636363661340089,5.636363661340089,0.0,0.0
7,UDPFlood,0.25,10,2320,124158,32013.8,5.843956070054166,5.636363661340089,0.32558274636080675,0.057764680549976605
7,UDPFlood,0.5,10,2320,124158,32013.8,5.999664665227529,5.636363661340089,0.6009260684357155,0.10661591489517919
7,UDPFlood,0.75,10,2320,124158,32013.8,6.1004003674831955,5.636363661340089,0.826779360613232,0.14668666010394701
7,UDPFlood,1.0,10,2320,124158,32013.8,6.159158163355959,5.636363661340089,1.017418264281527,0.18050969125005464
8,UDPScan,0.0,10,74,3370,1113.4,8.420877434638903,8.420877434638903,0.0,0.0
8,UDPScan,0.25,10,74,3370,1113.4,8.660998221099623,8.420877434638903,0.9163104103303505,0.10881412506506134
8,UDPScan,0.5,10,74,3370,1113.4,8.968983467582031,8.420877434638903,1.723963138580945,0.20472488193326502
8,UDPScan,0.75,10,74,3370,1113.4,9.272200454151907,8.420877434638903,2.3516502814060996,0.2792642809088624
8,UDPScan,1.0,10,74,3370,1113.4,9.52602623936675,8.420877434638903,2.7961598794595446,0.33205089388401093
1 class_id class_name beta n_contributors support_min support_max support_mean prototype_norm reference_norm_beta0 displacement_from_beta0 relative_displacement
2 0 Benign 0.0 10 1410 69384 33441.5 6.153241255427796 6.153241255427796 0.0 0.0
3 0 Benign 0.25 10 1410 69384 33441.5 6.313789765511587 6.153241255427796 0.2796561970193524 0.04544859943085552
4 0 Benign 0.5 10 1410 69384 33441.5 6.419317151772786 6.153241255427796 0.4625154250998284 0.07516614510959438
5 0 Benign 0.75 10 1410 69384 33441.5 6.480873273423168 6.153241255427796 0.5767736481429079 0.09373493159140052
6 0 Benign 1.0 10 1410 69384 33441.5 6.513478897708157 6.153241255427796 0.6497236186430407 0.10559046714931213
7 1 HTTPFlood 0.0 10 557 27843 9856.9 7.42789590531035 7.42789590531035 0.0 0.0
8 1 HTTPFlood 0.25 10 557 27843 9856.9 7.949353221544867 7.42789590531035 0.6662283784528569 0.0896927456908163
9 1 HTTPFlood 0.5 10 557 27843 9856.9 8.40203969697062 7.42789590531035 1.2244302878861635 0.16484214419466944
10 1 HTTPFlood 0.75 10 557 27843 9856.9 8.761864107372237 7.42789590531035 1.6585065333294826 0.22328079909463774
11 1 HTTPFlood 1.0 10 557 27843 9856.9 9.030153700349349 7.42789590531035 1.9786465808777682 0.2663804940323941
12 2 ICMPFlood 0.0 8 25 239 101.0 3.92300484863223 3.92300484863223 0.0 0.0
13 2 ICMPFlood 0.25 8 25 239 101.0 3.9112306708422007 3.92300484863223 0.08345694344366894 0.02127372936405279
14 2 ICMPFlood 0.5 8 25 239 101.0 3.9083745835755863 3.92300484863223 0.15965710237974665 0.040697656143711285
15 2 ICMPFlood 0.75 8 25 239 101.0 3.9134258651326665 3.92300484863223 0.2343419660332571 0.05973532408836081
16 2 ICMPFlood 1.0 8 25 239 101.0 3.9254881373623185 3.92300484863223 0.31202266651849364 0.07953665074548187
17 3 SYNFlood 0.0 9 26 3213 756.1111111111111 3.300037149939064 3.300037149939064 0.0 0.0
18 3 SYNFlood 0.25 9 26 3213 756.1111111111111 3.3130064494428586 3.300037149939064 0.5811365216491851 0.17609999380155944
19 3 SYNFlood 0.5 9 26 3213 756.1111111111111 3.3922895364334265 3.300037149939064 1.0786419403609617 0.32685751443158123
20 3 SYNFlood 0.75 9 26 3213 756.1111111111111 3.486327381293389 3.300037149939064 1.479326060470779 0.4482755778970837
21 3 SYNFlood 1.0 9 26 3213 756.1111111111111 3.569876550242581 3.300037149939064 1.7990563432642253 0.5451624516704139
22 4 SYNScan 0.0 10 82 4335 1403.0 7.4846063066488755 7.4846063066488755 0.0 0.0
23 4 SYNScan 0.25 10 82 4335 1403.0 7.843362761328482 7.4846063066488755 0.7094467363698403 0.09478744870516574
24 4 SYNScan 0.5 10 82 4335 1403.0 8.197271316930058 7.4846063066488755 1.274995172626633 0.17034899637860762
25 4 SYNScan 0.75 10 82 4335 1403.0 8.508956916248394 7.4846063066488755 1.7009060393061817 0.22725390883889227
26 4 SYNScan 1.0 10 82 4335 1403.0 8.767155364063447 7.4846063066488755 2.0148719426654047 0.2692021276891362
27 5 SlowrateDoS 0.0 10 2 15285 5118.7 5.922674795598587 5.922674795598587 0.0 0.0
28 5 SlowrateDoS 0.25 10 2 15285 5118.7 6.522344031035285 5.922674795598587 1.1412765131443214 0.19269613013236125
29 5 SlowrateDoS 0.5 10 2 15285 5118.7 6.914303390690607 5.922674795598587 1.7342569160895378 0.29281650199304277
30 5 SlowrateDoS 0.75 10 2 15285 5118.7 7.161394938793151 5.922674795598587 2.0844451216445647 0.3519432002570211
31 5 SlowrateDoS 1.0 10 2 15285 5118.7 7.306953561965431 5.922674795598587 2.2913090219189884 0.38687064561129814
32 6 TCPConnectScan 0.0 10 52 3531 1403.7 3.9223157086637572 3.9223157086637572 0.0 0.0
33 6 TCPConnectScan 0.25 10 52 3531 1403.7 4.069528406438392 3.9223157086637572 0.565939919979383 0.14428719206088225
34 6 TCPConnectScan 0.5 10 52 3531 1403.7 4.241070122591719 3.9223157086637572 1.0174215972406544 0.2593930914315071
35 6 TCPConnectScan 0.75 10 52 3531 1403.7 4.39754779378294 3.9223157086637572 1.3603032767403593 0.3468112660425755
36 6 TCPConnectScan 1.0 10 52 3531 1403.7 4.524467428288578 3.9223157086637572 1.6138606377812053 0.411456077902258
37 7 UDPFlood 0.0 10 2320 124158 32013.8 5.636363661340089 5.636363661340089 0.0 0.0
38 7 UDPFlood 0.25 10 2320 124158 32013.8 5.843956070054166 5.636363661340089 0.32558274636080675 0.057764680549976605
39 7 UDPFlood 0.5 10 2320 124158 32013.8 5.999664665227529 5.636363661340089 0.6009260684357155 0.10661591489517919
40 7 UDPFlood 0.75 10 2320 124158 32013.8 6.1004003674831955 5.636363661340089 0.826779360613232 0.14668666010394701
41 7 UDPFlood 1.0 10 2320 124158 32013.8 6.159158163355959 5.636363661340089 1.017418264281527 0.18050969125005464
42 8 UDPScan 0.0 10 74 3370 1113.4 8.420877434638903 8.420877434638903 0.0 0.0
43 8 UDPScan 0.25 10 74 3370 1113.4 8.660998221099623 8.420877434638903 0.9163104103303505 0.10881412506506134
44 8 UDPScan 0.5 10 74 3370 1113.4 8.968983467582031 8.420877434638903 1.723963138580945 0.20472488193326502
45 8 UDPScan 0.75 10 74 3370 1113.4 9.272200454151907 8.420877434638903 2.3516502814060996 0.2792642809088624
46 8 UDPScan 1.0 10 74 3370 1113.4 9.52602623936675 8.420877434638903 2.7961598794595446 0.33205089388401093
@@ -0,0 +1,436 @@
class_id,class_name,beta,client_id,N_ij,weight
0,Benign,0.0,0,46676.0,0.1
0,Benign,0.0,1,69384.0,0.1
0,Benign,0.0,2,7505.0,0.1
0,Benign,0.0,3,58004.0,0.1
0,Benign,0.0,4,3818.0,0.1
0,Benign,0.0,5,21356.0,0.1
0,Benign,0.0,6,42870.0,0.1
0,Benign,0.0,7,1410.0,0.1
0,Benign,0.0,8,24950.0,0.1
0,Benign,0.0,9,58442.0,0.1
0,Benign,0.25,0,46676.0,0.11821443917468197
0,Benign,0.25,1,69384.0,0.13053048502536457
0,Benign,0.25,2,7505.0,0.07485740926439206
0,Benign,0.25,3,58004.0,0.12481351224706985
0,Benign,0.25,4,3818.0,0.06322023406628291
0,Benign,0.25,5,21356.0,0.09722480851372131
0,Benign,0.25,6,42870.0,0.115727211653024
0,Benign,0.25,7,1410.0,0.049283540142929405
0,Benign,0.25,8,24950.0,0.10107988890231485
0,Benign,0.25,9,58442.0,0.1250484710102191
0,Benign,0.5,0,46676.0,0.1302144650565719
0,Benign,0.5,1,69384.0,0.1587603626324705
0,Benign,0.5,2,7505.0,0.05221409606109301
0,Benign,0.5,3,58004.0,0.14515813759089746
0,Benign,0.5,4,3818.0,0.03724177548238353
0,Benign,0.5,5,21356.0,0.08807899926546381
0,Benign,0.5,6,42870.0,0.12479269314220424
0,Benign,0.5,7,1410.0,0.02263194983785922
0,Benign,0.5,8,24950.0,0.09520235477044543
0,Benign,0.5,9,58442.0,0.14570516616061088
0,Benign,0.75,0,46676.0,0.13687610230372455
0,Benign,0.75,1,69384.0,0.18426884189079779
0,Benign,0.75,2,7505.0,0.0347552509564251
0,Benign,0.75,3,58004.0,0.16110197486004596
0,Benign,0.75,4,3818.0,0.02093554877524936
0,Benign,0.75,5,21356.0,0.07614604312631652
0,Benign,0.75,6,42870.0,0.12841699969855225
0,Benign,0.75,7,1410.0,0.009917946033002181
0,Benign,0.75,8,24950.0,0.08556779066752691
0,Benign,0.75,9,58442.0,0.16201350168835935
0,Benign,1.0,0,46676.0,0.13957507886906986
0,Benign,1.0,1,69384.0,0.20747873151622984
0,Benign,1.0,2,7505.0,0.022442175141665296
0,Benign,1.0,3,58004.0,0.17344915748396453
0,Benign,1.0,4,3818.0,0.011416951990789887
0,Benign,1.0,5,21356.0,0.06386077179552353
0,Benign,1.0,6,42870.0,0.12819401043613474
0,Benign,1.0,7,1410.0,0.0042163180479344526
0,Benign,1.0,8,24950.0,0.07460789737302453
0,Benign,1.0,9,58442.0,0.17475890734566332
1,HTTPFlood,0.0,0,2633.0,0.1
1,HTTPFlood,0.0,1,8301.0,0.1
1,HTTPFlood,0.0,2,7904.0,0.1
1,HTTPFlood,0.0,3,4612.0,0.1
1,HTTPFlood,0.0,4,17423.0,0.1
1,HTTPFlood,0.0,5,1375.0,0.1
1,HTTPFlood,0.0,6,557.0,0.1
1,HTTPFlood,0.0,7,25878.0,0.1
1,HTTPFlood,0.0,8,27843.0,0.1
1,HTTPFlood,0.0,9,2043.0,0.1
1,HTTPFlood,0.25,0,2633.0,0.08036133833415979
1,HTTPFlood,0.25,1,8301.0,0.10708214190288501
1,HTTPFlood,0.25,2,7904.0,0.10577820158456092
1,HTTPFlood,0.25,3,4612.0,0.09244996918466622
1,HTTPFlood,0.25,4,17423.0,0.1288887999888989
1,HTTPFlood,0.25,5,1375.0,0.06831406374262142
1,HTTPFlood,0.25,6,557.0,0.05450021868057407
1,HTTPFlood,0.25,7,25878.0,0.1422876226496816
1,HTTPFlood,0.25,8,27843.0,0.14491503729318708
1,HTTPFlood,0.25,9,2043.0,0.07542260663876504
1,HTTPFlood,0.5,0,2633.0,0.05933175082594097
1,HTTPFlood,0.5,1,8301.0,0.10534815681511006
1,HTTPFlood,0.5,2,7904.0,0.1027981266659425
1,HTTPFlood,0.5,3,4612.0,0.07852471772802401
1,HTTPFlood,0.5,4,17423.0,0.15262413054788343
1,HTTPFlood,0.5,5,1375.0,0.04287588364619701
1,HTTPFlood,0.5,6,557.0,0.027289107503075543
1,HTTPFlood,0.5,7,25878.0,0.1860060579832386
1,HTTPFlood,0.5,8,27843.0,0.19293887785198494
1,HTTPFlood,0.5,9,2043.0,0.05226319043260294
1,HTTPFlood,0.75,0,2633.0,0.040878416215568175
1,HTTPFlood,0.75,1,8301.0,0.09671720273138638
1,HTTPFlood,0.75,2,7904.0,0.09322687260588829
1,HTTPFlood,0.75,3,4612.0,0.062240473922911106
1,HTTPFlood,0.75,4,17423.0,0.16865457221434382
1,HTTPFlood,0.75,5,1375.0,0.025112094704510327
1,HTTPFlood,0.75,6,557.0,0.012751090064279793
1,HTTPFlood,0.75,7,25878.0,0.22691016327447405
1,HTTPFlood,0.75,8,27843.0,0.2397137453312671
1,HTTPFlood,0.75,9,2043.0,0.033795368935370926
1,HTTPFlood,1.0,0,2633.0,0.026712252330854527
1,HTTPFlood,1.0,1,8301.0,0.08421511834349542
1,HTTPFlood,1.0,2,7904.0,0.08018748288001298
1,HTTPFlood,1.0,3,4612.0,0.046789558583327416
1,HTTPFlood,1.0,4,17423.0,0.17675942740618247
1,HTTPFlood,1.0,5,1375.0,0.013949619048585256
1,HTTPFlood,1.0,6,557.0,0.005650863861863263
1,HTTPFlood,1.0,7,25878.0,0.26253690308311944
1,HTTPFlood,1.0,8,27843.0,0.282472176850734
1,HTTPFlood,1.0,9,2043.0,0.02072659761182522
2,ICMPFlood,0.0,1,239.0,0.125
2,ICMPFlood,0.0,2,80.0,0.125
2,ICMPFlood,0.0,4,54.0,0.125
2,ICMPFlood,0.0,5,143.0,0.125
2,ICMPFlood,0.0,6,53.0,0.125
2,ICMPFlood,0.0,7,101.0,0.125
2,ICMPFlood,0.0,8,113.0,0.125
2,ICMPFlood,0.0,9,25.0,0.125
2,ICMPFlood,0.25,1,239.0,0.16077184346900966
2,ICMPFlood,0.25,2,80.0,0.12228776652711458
2,ICMPFlood,0.25,4,54.0,0.11084317475481975
2,ICMPFlood,0.25,5,143.0,0.14139840992741465
2,ICMPFlood,0.25,6,53.0,0.11032640928482476
2,ICMPFlood,0.25,7,101.0,0.12962562392365518
2,ICMPFlood,0.25,8,113.0,0.13331534079586851
2,ICMPFlood,0.25,9,25.0,0.09143143131729299
2,ICMPFlood,0.5,1,239.0,0.20163651996256896
2,ICMPFlood,0.5,2,80.0,0.11665819066935616
2,ICMPFlood,0.5,4,54.0,0.0958444838210176
2,ICMPFlood,0.5,5,143.0,0.15596899064339054
2,ICMPFlood,0.5,6,53.0,0.09495288784860208
2,ICMPFlood,0.5,7,101.0,0.13107833909894465
2,ICMPFlood,0.5,8,113.0,0.13864667683891704
2,ICMPFlood,0.5,9,25.0,0.06521391111720301
2,ICMPFlood,0.75,1,239.0,0.24694499550082424
2,ICMPFlood,0.75,2,80.0,0.10867240886359666
2,ICMPFlood,0.75,4,54.0,0.08092768616471928
2,ICMPFlood,0.75,5,143.0,0.16799789176304897
2,ICMPFlood,0.75,6,53.0,0.07980106839416601
2,ICMPFlood,0.75,7,101.0,0.1294323492763509
2,ICMPFlood,0.75,8,113.0,0.14080258763356635
2,ICMPFlood,0.75,9,25.0,0.04542101240372754
2,ICMPFlood,1.0,1,239.0,0.2957920792079208
2,ICMPFlood,1.0,2,80.0,0.09900990099009901
2,ICMPFlood,1.0,4,54.0,0.06683168316831684
2,ICMPFlood,1.0,5,143.0,0.17698019801980197
2,ICMPFlood,1.0,6,53.0,0.0655940594059406
2,ICMPFlood,1.0,7,101.0,0.125
2,ICMPFlood,1.0,8,113.0,0.13985148514851486
2,ICMPFlood,1.0,9,25.0,0.03094059405940594
3,SYNFlood,0.0,0,765.0,0.1111111111111111
3,SYNFlood,0.0,1,26.0,0.1111111111111111
3,SYNFlood,0.0,2,50.0,0.1111111111111111
3,SYNFlood,0.0,3,3213.0,0.1111111111111111
3,SYNFlood,0.0,5,180.0,0.1111111111111111
3,SYNFlood,0.0,6,706.0,0.1111111111111111
3,SYNFlood,0.0,7,100.0,0.1111111111111111
3,SYNFlood,0.0,8,1313.0,0.1111111111111111
3,SYNFlood,0.0,9,452.0,0.1111111111111111
3,SYNFlood,0.25,0,765.0,0.13044979705892773
3,SYNFlood,0.25,1,26.0,0.05601074973854912
3,SYNFlood,0.25,2,50.0,0.06595846651975373
3,SYNFlood,0.25,3,3213.0,0.18674790153768603
3,SYNFlood,0.25,5,180.0,0.09085444406416882
3,SYNFlood,0.25,6,706.0,0.1278583878821835
3,SYNFlood,0.25,7,100.0,0.07843827767995991
3,SYNFlood,0.25,8,1313.0,0.14931183420428193
3,SYNFlood,0.25,9,452.0,0.11437014131448929
3,SYNFlood,0.5,0,765.0,0.13558502316676035
3,SYNFlood,0.5,1,26.0,0.024995836547049257
3,SYNFlood,0.5,2,50.0,0.03466298859365494
3,SYNFlood,0.5,3,3213.0,0.27786661139825697
3,SYNFlood,0.5,5,180.0,0.06576839667863182
3,SYNFlood,0.5,6,706.0,0.13025168570426718
3,SYNFlood,0.5,7,100.0,0.049020868581530715
3,SYNFlood,0.5,8,1313.0,0.17762879315213387
3,SYNFlood,0.5,9,452.0,0.10421979617771486
3,SYNFlood,0.75,0,765.0,0.1279996701555037
3,SYNFlood,0.75,1,26.0,0.010131944102041409
3,SYNFlood,0.75,2,50.0,0.01654589551133701
3,SYNFlood,0.75,3,3213.0,0.3755310212495605
3,SYNFlood,0.75,5,180.0,0.04324313315561158
3,SYNFlood,0.75,6,706.0,0.12052199166900539
3,SYNFlood,0.75,7,100.0,0.02782676844529163
3,SYNFlood,0.75,8,1313.0,0.19193815626659044
3,SYNFlood,0.75,9,452.0,0.08626141944505823
3,SYNFlood,1.0,0,765.0,0.112417340191036
3,SYNFlood,1.0,1,26.0,0.0038207200587803084
3,SYNFlood,1.0,2,50.0,0.0073475385745775165
3,SYNFlood,1.0,3,3213.0,0.4721528288023512
3,SYNFlood,1.0,5,180.0,0.02645113886847906
3,SYNFlood,1.0,6,706.0,0.10374724467303453
3,SYNFlood,1.0,7,100.0,0.014695077149155033
3,SYNFlood,1.0,8,1313.0,0.1929463629684056
3,SYNFlood,1.0,9,452.0,0.06642174871418074
4,SYNScan,0.0,0,252.0,0.1
4,SYNScan,0.0,1,82.0,0.1
4,SYNScan,0.0,2,1089.0,0.1
4,SYNScan,0.0,3,697.0,0.1
4,SYNScan,0.0,4,2163.0,0.1
4,SYNScan,0.0,5,645.0,0.1
4,SYNScan,0.0,6,4335.0,0.1
4,SYNScan,0.0,7,3133.0,0.1
4,SYNScan,0.0,8,145.0,0.1
4,SYNScan,0.0,9,1489.0,0.1
4,SYNScan,0.25,0,252.0,0.07242414355126282
4,SYNScan,0.25,1,82.0,0.054699920618140226
4,SYNScan,0.25,2,1089.0,0.10442156622187727
4,SYNScan,0.25,3,697.0,0.09339882819636679
4,SYNScan,0.25,4,2163.0,0.12396450850188562
4,SYNScan,0.25,5,645.0,0.0916058400440767
4,SYNScan,0.25,6,4335.0,0.1474960902563833
4,SYNScan,0.25,7,3133.0,0.13599512222858523
4,SYNScan,0.25,8,145.0,0.06307761056847418
4,SYNScan,0.25,9,1489.0,0.11291636981294788
4,SYNScan,0.5,0,252.0,0.04829795919604068
4,SYNScan,0.5,1,82.0,0.02755087751931175
4,SYNScan,0.5,2,1089.0,0.1004020198222397
4,SYNScan,0.5,3,697.0,0.08032392073794081
4,SYNScan,0.5,4,2163.0,0.14150010743156943
4,SYNScan,0.5,5,645.0,0.07726954718309904
4,SYNScan,0.5,6,4335.0,0.20031942308639586
4,SYNScan,0.5,7,3133.0,0.17029767050737452
4,SYNScan,0.5,8,145.0,0.0366363762906448
4,SYNScan,0.5,9,1489.0,0.11740209822538342
4,SYNScan,0.75,0,252.0,0.030184790055429418
4,SYNScan,0.75,1,82.0,0.01300463427692813
4,SYNScan,0.75,2,1089.0,0.0904708485665422
4,SYNScan,0.75,3,697.0,0.06473845602776503
4,SYNScan,0.75,4,2163.0,0.1513666305442359
4,SYNScan,0.75,5,645.0,0.061081197092719634
4,SYNScan,0.75,6,4335.0,0.25496442056819213
4,SYNScan,0.75,7,3133.0,0.19985179353906454
4,SYNScan,0.75,8,145.0,0.01994177241796763
4,SYNScan,0.75,9,1489.0,0.11439545691115544
4,SYNScan,1.0,0,252.0,0.01796151104775481
4,SYNScan,1.0,1,82.0,0.005844618674269423
4,SYNScan,1.0,2,1089.0,0.07761938702779758
4,SYNScan,1.0,3,697.0,0.049679258731290095
4,SYNScan,1.0,4,2163.0,0.1541696364932288
4,SYNScan,1.0,5,645.0,0.045972915181753386
4,SYNScan,1.0,6,4335.0,0.3089807555238774
4,SYNScan,1.0,7,3133.0,0.2233071988595866
4,SYNScan,1.0,8,145.0,0.010334996436208126
4,SYNScan,1.0,9,1489.0,0.10612972202423379
5,SlowrateDoS,0.0,0,2.0,0.1
5,SlowrateDoS,0.0,1,11818.0,0.1
5,SlowrateDoS,0.0,2,585.0,0.1
5,SlowrateDoS,0.0,3,15285.0,0.1
5,SlowrateDoS,0.0,4,10667.0,0.1
5,SlowrateDoS,0.0,5,1615.0,0.1
5,SlowrateDoS,0.0,6,612.0,0.1
5,SlowrateDoS,0.0,7,277.0,0.1
5,SlowrateDoS,0.0,8,645.0,0.1
5,SlowrateDoS,0.0,9,9681.0,0.1
5,SlowrateDoS,0.25,0,2.0,0.017445508249885874
5,SlowrateDoS,0.25,1,11818.0,0.15295445257234067
5,SlowrateDoS,0.25,2,585.0,0.07214647123545057
5,SlowrateDoS,0.25,3,15285.0,0.1631144696415147
5,SlowrateDoS,0.25,4,10667.0,0.14908594461428493
5,SlowrateDoS,0.25,5,1615.0,0.09299706861656286
5,SlowrateDoS,0.25,6,612.0,0.07296489857862223
5,SlowrateDoS,0.25,7,277.0,0.059847507780173864
5,SlowrateDoS,0.25,8,645.0,0.07392920844461508
5,SlowrateDoS,0.25,9,9681.0,0.14551447026654915
5,SlowrateDoS,0.5,0,2.0,0.002496038477437105
5,SlowrateDoS,0.5,1,11818.0,0.1918705280904866
5,SlowrateDoS,0.5,2,585.0,0.04268882598113483
5,SlowrateDoS,0.5,3,15285.0,0.21820716133497928
5,SlowrateDoS,0.5,4,10667.0,0.18228772531137422
5,SlowrateDoS,0.5,5,1615.0,0.07092878840980989
5,SlowrateDoS,0.5,6,612.0,0.04366284086885599
5,SlowrateDoS,0.5,7,277.0,0.029374884156320443
5,SlowrateDoS,0.5,8,645.0,0.0448245703389671
5,SlowrateDoS,0.5,9,9681.0,0.17365863703063456
5,SlowrateDoS,0.75,0,2.0,0.00032168602094297447
5,SlowrateDoS,0.75,1,11818.0,0.21680419502455944
5,SlowrateDoS,0.75,2,585.0,0.0227523673794284
5,SlowrateDoS,0.75,3,15285.0,0.2629412809596601
5,SlowrateDoS,0.75,4,10667.0,0.20076657647846494
5,SlowrateDoS,0.75,5,1615.0,0.04872917817940291
5,SlowrateDoS,0.75,6,612.0,0.023535490762220078
5,SlowrateDoS,0.75,7,277.0,0.012987319324462248
5,SlowrateDoS,0.75,8,645.0,0.024481018270352813
5,SlowrateDoS,0.75,9,9681.0,0.18668088760050608
5,SlowrateDoS,1.0,0,2.0,3.907242073182644e-05
5,SlowrateDoS,1.0,1,11818.0,0.23087893410436244
5,SlowrateDoS,1.0,2,585.0,0.011428683064059234
5,SlowrateDoS,1.0,3,15285.0,0.2986109754429836
5,SlowrateDoS,1.0,4,10667.0,0.20839275597319631
5,SlowrateDoS,1.0,5,1615.0,0.03155097974094985
5,SlowrateDoS,1.0,6,612.0,0.01195616074393889
5,SlowrateDoS,1.0,7,277.0,0.005411530271357962
5,SlowrateDoS,1.0,8,645.0,0.012600855686014026
5,SlowrateDoS,1.0,9,9681.0,0.1891300525524059
6,TCPConnectScan,0.0,0,2742.0,0.1
6,TCPConnectScan,0.0,1,386.0,0.1
6,TCPConnectScan,0.0,2,1933.0,0.1
6,TCPConnectScan,0.0,3,363.0,0.1
6,TCPConnectScan,0.0,4,1926.0,0.1
6,TCPConnectScan,0.0,5,379.0,0.1
6,TCPConnectScan,0.0,6,2301.0,0.1
6,TCPConnectScan,0.0,7,3531.0,0.1
6,TCPConnectScan,0.0,8,424.0,0.1
6,TCPConnectScan,0.0,9,52.0,0.1
6,TCPConnectScan,0.25,0,2742.0,0.13024555918572311
6,TCPConnectScan,0.25,1,386.0,0.07977978988905458
6,TCPConnectScan,0.25,2,1933.0,0.11934494414218169
6,TCPConnectScan,0.25,3,363.0,0.07856384285625145
6,TCPConnectScan,0.25,4,1926.0,0.11923675072540796
6,TCPConnectScan,0.25,5,379.0,0.07941560788140835
6,TCPConnectScan,0.25,6,2301.0,0.1246594529440571
6,TCPConnectScan,0.25,7,3531.0,0.1387460063931698
6,TCPConnectScan,0.25,8,424.0,0.08167469590813603
6,TCPConnectScan,0.25,9,52.0,0.048333350074609864
6,TCPConnectScan,0.5,0,2742.0,0.15697762275120183
6,TCPConnectScan,0.5,1,386.0,0.058897610414013916
6,TCPConnectScan,0.5,2,1933.0,0.13180137763581493
6,TCPConnectScan,0.5,3,363.0,0.057115940853330174
6,TCPConnectScan,0.5,4,1926.0,0.13156251410139447
6,TCPConnectScan,0.5,5,379.0,0.05836112132628944
6,TCPConnectScan,0.5,6,2301.0,0.14380114100178865
6,TCPConnectScan,0.5,7,3531.0,0.17813648619503142
6,TCPConnectScan,0.5,8,424.0,0.06172867442988128
6,TCPConnectScan,0.5,9,52.0,0.021617511291253833
6,TCPConnectScan,0.75,0,2742.0,0.1787021209550815
6,TCPConnectScan,0.75,1,386.0,0.04106951722237255
6,TCPConnectScan,0.75,2,1933.0,0.13748426926445553
6,TCPConnectScan,0.75,3,363.0,0.03922013533812336
6,TCPConnectScan,0.75,4,1926.0,0.13711069469784176
6,TCPConnectScan,0.75,5,379.0,0.040509653333244765
6,TCPConnectScan,0.75,6,2301.0,0.15668108964034314
6,TCPConnectScan,0.75,7,3531.0,0.21602420093040328
6,TCPConnectScan,0.75,8,424.0,0.04406598797827437
6,TCPConnectScan,0.75,9,52.0,0.009132330639859652
6,TCPConnectScan,1.0,0,2742.0,0.1953408848044454
6,TCPConnectScan,1.0,1,386.0,0.027498753294863575
6,TCPConnectScan,1.0,2,1933.0,0.1377074873548479
6,TCPConnectScan,1.0,3,363.0,0.025860226544133363
6,TCPConnectScan,1.0,4,1926.0,0.13720880530027785
6,TCPConnectScan,1.0,5,379.0,0.02700007124029351
6,TCPConnectScan,1.0,6,2301.0,0.1639239153665313
6,TCPConnectScan,1.0,7,3531.0,0.2515494763838427
6,TCPConnectScan,1.0,8,424.0,0.030205884448243927
6,TCPConnectScan,1.0,9,52.0,0.0037044952625204814
7,UDPFlood,0.0,0,21728.0,0.1
7,UDPFlood,0.0,1,6626.0,0.1
7,UDPFlood,0.0,2,124158.0,0.1
7,UDPFlood,0.0,3,2320.0,0.1
7,UDPFlood,0.0,4,2960.0,0.1
7,UDPFlood,0.0,5,23593.0,0.1
7,UDPFlood,0.0,6,41823.0,0.1
7,UDPFlood,0.0,7,4005.0,0.1
7,UDPFlood,0.0,8,24580.0,0.1
7,UDPFlood,0.0,9,68345.0,0.1
7,UDPFlood,0.25,0,21728.0,0.1032486891832646
7,UDPFlood,0.25,1,6626.0,0.0767259839137836
7,UDPFlood,0.25,2,124158.0,0.15963322425413598
7,UDPFlood,0.25,3,2320.0,0.059020326101724904
7,UDPFlood,0.25,4,2960.0,0.06272671387028014
7,UDPFlood,0.25,5,23593.0,0.10539630861027315
7,UDPFlood,0.25,6,41823.0,0.12161395265942014
7,UDPFlood,0.25,7,4005.0,0.06765193744717425
7,UDPFlood,0.25,8,24580.0,0.10648172502218263
7,UDPFlood,0.25,9,68345.0,0.13750113893776056
7,UDPFlood,0.5,0,21728.0,0.09676394549386817
7,UDPFlood,0.5,1,6626.0,0.05343544219078325
7,UDPFlood,0.5,2,124158.0,0.23130820900525215
7,UDPFlood,0.5,3,2320.0,0.03161896750888523
7,UDPFlood,0.5,4,2960.0,0.035714908957838354
7,UDPFlood,0.5,5,23593.0,0.1008312789190247
7,UDPFlood,0.5,6,41823.0,0.1342490690649567
7,UDPFlood,0.5,7,4005.0,0.041543678825587106
7,UDPFlood,0.5,8,24580.0,0.10291878040126987
7,UDPFlood,0.5,9,68345.0,0.17161571963253452
7,UDPFlood,0.75,0,21728.0,0.08364506855388486
7,UDPFlood,0.75,1,6626.0,0.03432528095423779
7,UDPFlood,0.75,2,124158.0,0.3091409648741925
7,UDPFlood,0.75,3,2320.0,0.015623974290984824
7,UDPFlood,0.75,4,2960.0,0.01875617647334675
7,UDPFlood,0.75,5,23593.0,0.088973956403598
7,UDPFlood,0.75,6,41823.0,0.13669005347953717
7,UDPFlood,0.75,7,4005.0,0.023530297455976276
7,UDPFlood,0.75,8,24580.0,0.09175123863343553
7,UDPFlood,0.75,9,68345.0,0.1975629888808063
7,UDPFlood,1.0,0,21728.0,0.0678707307473652
7,UDPFlood,1.0,1,6626.0,0.020697324278904722
7,UDPFlood,1.0,2,124158.0,0.3878264998219518
7,UDPFlood,1.0,3,2320.0,0.007246874785248861
7,UDPFlood,1.0,4,2960.0,0.009246012657041652
7,UDPFlood,1.0,5,23593.0,0.07369634345188637
7,UDPFlood,1.0,6,41823.0,0.13064053626873412
7,UDPFlood,1.0,7,4005.0,0.012510229963328314
7,UDPFlood,1.0,8,24580.0,0.07677938888854181
7,UDPFlood,1.0,9,68345.0,0.21348605913699717
8,UDPScan,0.0,0,3082.0,0.1
8,UDPScan,0.0,1,886.0,0.1
8,UDPScan,0.0,2,243.0,0.1
8,UDPScan,0.0,3,2343.0,0.1
8,UDPScan,0.0,4,3370.0,0.1
8,UDPScan,0.0,5,198.0,0.1
8,UDPScan,0.0,6,429.0,0.1
8,UDPScan,0.0,7,404.0,0.1
8,UDPScan,0.0,8,74.0,0.1
8,UDPScan,0.0,9,105.0,0.1
8,UDPScan,0.25,0,3082.0,0.14797900927937715
8,UDPScan,0.25,1,886.0,0.10835535697927427
8,UDPScan,0.25,2,243.0,0.07841398498640019
8,UDPScan,0.25,3,2343.0,0.1381767676080313
8,UDPScan,0.25,4,3370.0,0.1513210799162483
8,UDPScan,0.25,5,198.0,0.0745003399316188
8,UDPScan,0.25,6,429.0,0.09038706404161413
8,UDPScan,0.25,7,404.0,0.08904044013159443
8,UDPScan,0.25,8,74.0,0.058250530741306164
8,UDPScan,0.25,9,105.0,0.0635754263845353
8,UDPScan,0.5,0,3082.0,0.19752365608310427
8,UDPScan,0.5,1,886.0,0.10590577907403338
8,UDPScan,0.5,2,243.0,0.05546332927204847
8,UDPScan,0.5,3,2343.0,0.17222212466545198
8,UDPScan,0.5,4,3370.0,0.2065464566021007
8,UDPScan,0.5,5,198.0,0.050065135228343514
8,UDPScan,0.5,6,429.0,0.07369388367951599
8,UDPScan,0.5,7,404.0,0.07151439698363272
8,UDPScan,0.5,8,74.0,0.030606851632906426
8,UDPScan,0.5,9,105.0,0.03645838677886257
8,UDPScan,0.75,0,3082.0,0.24163464527465728
8,UDPScan,0.75,1,886.0,0.0948658754014929
8,UDPScan,0.75,2,243.0,0.03595335578439897
8,UDPScan,0.75,3,2343.0,0.1967269884365805
8,UDPScan,0.75,4,3370.0,0.2583789641988238
8,UDPScan,0.75,5,198.0,0.03083426637509927
8,UDPScan,0.75,6,429.0,0.05506526027991086
8,UDPScan,0.75,7,404.0,0.052640590341925635
8,UDPScan,0.75,8,74.0,0.01473867753239636
8,UDPScan,0.75,9,105.0,0.01916137637471448
8,UDPScan,1.0,0,3082.0,0.27680977186994793
8,UDPScan,1.0,1,886.0,0.07957607328902461
8,UDPScan,1.0,2,243.0,0.021825040416741513
8,UDPScan,1.0,3,2343.0,0.21043650080833484
8,UDPScan,1.0,4,3370.0,0.3026764864379379
8,UDPScan,1.0,5,198.0,0.017783366265493084
8,UDPScan,1.0,6,429.0,0.03853062690856835
8,UDPScan,1.0,7,404.0,0.036285252380097
8,UDPScan,1.0,8,74.0,0.006646308604275193
8,UDPScan,1.0,9,105.0,0.009430573019579665
1 class_id class_name beta client_id N_ij weight
2 0 Benign 0.0 0 46676.0 0.1
3 0 Benign 0.0 1 69384.0 0.1
4 0 Benign 0.0 2 7505.0 0.1
5 0 Benign 0.0 3 58004.0 0.1
6 0 Benign 0.0 4 3818.0 0.1
7 0 Benign 0.0 5 21356.0 0.1
8 0 Benign 0.0 6 42870.0 0.1
9 0 Benign 0.0 7 1410.0 0.1
10 0 Benign 0.0 8 24950.0 0.1
11 0 Benign 0.0 9 58442.0 0.1
12 0 Benign 0.25 0 46676.0 0.11821443917468197
13 0 Benign 0.25 1 69384.0 0.13053048502536457
14 0 Benign 0.25 2 7505.0 0.07485740926439206
15 0 Benign 0.25 3 58004.0 0.12481351224706985
16 0 Benign 0.25 4 3818.0 0.06322023406628291
17 0 Benign 0.25 5 21356.0 0.09722480851372131
18 0 Benign 0.25 6 42870.0 0.115727211653024
19 0 Benign 0.25 7 1410.0 0.049283540142929405
20 0 Benign 0.25 8 24950.0 0.10107988890231485
21 0 Benign 0.25 9 58442.0 0.1250484710102191
22 0 Benign 0.5 0 46676.0 0.1302144650565719
23 0 Benign 0.5 1 69384.0 0.1587603626324705
24 0 Benign 0.5 2 7505.0 0.05221409606109301
25 0 Benign 0.5 3 58004.0 0.14515813759089746
26 0 Benign 0.5 4 3818.0 0.03724177548238353
27 0 Benign 0.5 5 21356.0 0.08807899926546381
28 0 Benign 0.5 6 42870.0 0.12479269314220424
29 0 Benign 0.5 7 1410.0 0.02263194983785922
30 0 Benign 0.5 8 24950.0 0.09520235477044543
31 0 Benign 0.5 9 58442.0 0.14570516616061088
32 0 Benign 0.75 0 46676.0 0.13687610230372455
33 0 Benign 0.75 1 69384.0 0.18426884189079779
34 0 Benign 0.75 2 7505.0 0.0347552509564251
35 0 Benign 0.75 3 58004.0 0.16110197486004596
36 0 Benign 0.75 4 3818.0 0.02093554877524936
37 0 Benign 0.75 5 21356.0 0.07614604312631652
38 0 Benign 0.75 6 42870.0 0.12841699969855225
39 0 Benign 0.75 7 1410.0 0.009917946033002181
40 0 Benign 0.75 8 24950.0 0.08556779066752691
41 0 Benign 0.75 9 58442.0 0.16201350168835935
42 0 Benign 1.0 0 46676.0 0.13957507886906986
43 0 Benign 1.0 1 69384.0 0.20747873151622984
44 0 Benign 1.0 2 7505.0 0.022442175141665296
45 0 Benign 1.0 3 58004.0 0.17344915748396453
46 0 Benign 1.0 4 3818.0 0.011416951990789887
47 0 Benign 1.0 5 21356.0 0.06386077179552353
48 0 Benign 1.0 6 42870.0 0.12819401043613474
49 0 Benign 1.0 7 1410.0 0.0042163180479344526
50 0 Benign 1.0 8 24950.0 0.07460789737302453
51 0 Benign 1.0 9 58442.0 0.17475890734566332
52 1 HTTPFlood 0.0 0 2633.0 0.1
53 1 HTTPFlood 0.0 1 8301.0 0.1
54 1 HTTPFlood 0.0 2 7904.0 0.1
55 1 HTTPFlood 0.0 3 4612.0 0.1
56 1 HTTPFlood 0.0 4 17423.0 0.1
57 1 HTTPFlood 0.0 5 1375.0 0.1
58 1 HTTPFlood 0.0 6 557.0 0.1
59 1 HTTPFlood 0.0 7 25878.0 0.1
60 1 HTTPFlood 0.0 8 27843.0 0.1
61 1 HTTPFlood 0.0 9 2043.0 0.1
62 1 HTTPFlood 0.25 0 2633.0 0.08036133833415979
63 1 HTTPFlood 0.25 1 8301.0 0.10708214190288501
64 1 HTTPFlood 0.25 2 7904.0 0.10577820158456092
65 1 HTTPFlood 0.25 3 4612.0 0.09244996918466622
66 1 HTTPFlood 0.25 4 17423.0 0.1288887999888989
67 1 HTTPFlood 0.25 5 1375.0 0.06831406374262142
68 1 HTTPFlood 0.25 6 557.0 0.05450021868057407
69 1 HTTPFlood 0.25 7 25878.0 0.1422876226496816
70 1 HTTPFlood 0.25 8 27843.0 0.14491503729318708
71 1 HTTPFlood 0.25 9 2043.0 0.07542260663876504
72 1 HTTPFlood 0.5 0 2633.0 0.05933175082594097
73 1 HTTPFlood 0.5 1 8301.0 0.10534815681511006
74 1 HTTPFlood 0.5 2 7904.0 0.1027981266659425
75 1 HTTPFlood 0.5 3 4612.0 0.07852471772802401
76 1 HTTPFlood 0.5 4 17423.0 0.15262413054788343
77 1 HTTPFlood 0.5 5 1375.0 0.04287588364619701
78 1 HTTPFlood 0.5 6 557.0 0.027289107503075543
79 1 HTTPFlood 0.5 7 25878.0 0.1860060579832386
80 1 HTTPFlood 0.5 8 27843.0 0.19293887785198494
81 1 HTTPFlood 0.5 9 2043.0 0.05226319043260294
82 1 HTTPFlood 0.75 0 2633.0 0.040878416215568175
83 1 HTTPFlood 0.75 1 8301.0 0.09671720273138638
84 1 HTTPFlood 0.75 2 7904.0 0.09322687260588829
85 1 HTTPFlood 0.75 3 4612.0 0.062240473922911106
86 1 HTTPFlood 0.75 4 17423.0 0.16865457221434382
87 1 HTTPFlood 0.75 5 1375.0 0.025112094704510327
88 1 HTTPFlood 0.75 6 557.0 0.012751090064279793
89 1 HTTPFlood 0.75 7 25878.0 0.22691016327447405
90 1 HTTPFlood 0.75 8 27843.0 0.2397137453312671
91 1 HTTPFlood 0.75 9 2043.0 0.033795368935370926
92 1 HTTPFlood 1.0 0 2633.0 0.026712252330854527
93 1 HTTPFlood 1.0 1 8301.0 0.08421511834349542
94 1 HTTPFlood 1.0 2 7904.0 0.08018748288001298
95 1 HTTPFlood 1.0 3 4612.0 0.046789558583327416
96 1 HTTPFlood 1.0 4 17423.0 0.17675942740618247
97 1 HTTPFlood 1.0 5 1375.0 0.013949619048585256
98 1 HTTPFlood 1.0 6 557.0 0.005650863861863263
99 1 HTTPFlood 1.0 7 25878.0 0.26253690308311944
100 1 HTTPFlood 1.0 8 27843.0 0.282472176850734
101 1 HTTPFlood 1.0 9 2043.0 0.02072659761182522
102 2 ICMPFlood 0.0 1 239.0 0.125
103 2 ICMPFlood 0.0 2 80.0 0.125
104 2 ICMPFlood 0.0 4 54.0 0.125
105 2 ICMPFlood 0.0 5 143.0 0.125
106 2 ICMPFlood 0.0 6 53.0 0.125
107 2 ICMPFlood 0.0 7 101.0 0.125
108 2 ICMPFlood 0.0 8 113.0 0.125
109 2 ICMPFlood 0.0 9 25.0 0.125
110 2 ICMPFlood 0.25 1 239.0 0.16077184346900966
111 2 ICMPFlood 0.25 2 80.0 0.12228776652711458
112 2 ICMPFlood 0.25 4 54.0 0.11084317475481975
113 2 ICMPFlood 0.25 5 143.0 0.14139840992741465
114 2 ICMPFlood 0.25 6 53.0 0.11032640928482476
115 2 ICMPFlood 0.25 7 101.0 0.12962562392365518
116 2 ICMPFlood 0.25 8 113.0 0.13331534079586851
117 2 ICMPFlood 0.25 9 25.0 0.09143143131729299
118 2 ICMPFlood 0.5 1 239.0 0.20163651996256896
119 2 ICMPFlood 0.5 2 80.0 0.11665819066935616
120 2 ICMPFlood 0.5 4 54.0 0.0958444838210176
121 2 ICMPFlood 0.5 5 143.0 0.15596899064339054
122 2 ICMPFlood 0.5 6 53.0 0.09495288784860208
123 2 ICMPFlood 0.5 7 101.0 0.13107833909894465
124 2 ICMPFlood 0.5 8 113.0 0.13864667683891704
125 2 ICMPFlood 0.5 9 25.0 0.06521391111720301
126 2 ICMPFlood 0.75 1 239.0 0.24694499550082424
127 2 ICMPFlood 0.75 2 80.0 0.10867240886359666
128 2 ICMPFlood 0.75 4 54.0 0.08092768616471928
129 2 ICMPFlood 0.75 5 143.0 0.16799789176304897
130 2 ICMPFlood 0.75 6 53.0 0.07980106839416601
131 2 ICMPFlood 0.75 7 101.0 0.1294323492763509
132 2 ICMPFlood 0.75 8 113.0 0.14080258763356635
133 2 ICMPFlood 0.75 9 25.0 0.04542101240372754
134 2 ICMPFlood 1.0 1 239.0 0.2957920792079208
135 2 ICMPFlood 1.0 2 80.0 0.09900990099009901
136 2 ICMPFlood 1.0 4 54.0 0.06683168316831684
137 2 ICMPFlood 1.0 5 143.0 0.17698019801980197
138 2 ICMPFlood 1.0 6 53.0 0.0655940594059406
139 2 ICMPFlood 1.0 7 101.0 0.125
140 2 ICMPFlood 1.0 8 113.0 0.13985148514851486
141 2 ICMPFlood 1.0 9 25.0 0.03094059405940594
142 3 SYNFlood 0.0 0 765.0 0.1111111111111111
143 3 SYNFlood 0.0 1 26.0 0.1111111111111111
144 3 SYNFlood 0.0 2 50.0 0.1111111111111111
145 3 SYNFlood 0.0 3 3213.0 0.1111111111111111
146 3 SYNFlood 0.0 5 180.0 0.1111111111111111
147 3 SYNFlood 0.0 6 706.0 0.1111111111111111
148 3 SYNFlood 0.0 7 100.0 0.1111111111111111
149 3 SYNFlood 0.0 8 1313.0 0.1111111111111111
150 3 SYNFlood 0.0 9 452.0 0.1111111111111111
151 3 SYNFlood 0.25 0 765.0 0.13044979705892773
152 3 SYNFlood 0.25 1 26.0 0.05601074973854912
153 3 SYNFlood 0.25 2 50.0 0.06595846651975373
154 3 SYNFlood 0.25 3 3213.0 0.18674790153768603
155 3 SYNFlood 0.25 5 180.0 0.09085444406416882
156 3 SYNFlood 0.25 6 706.0 0.1278583878821835
157 3 SYNFlood 0.25 7 100.0 0.07843827767995991
158 3 SYNFlood 0.25 8 1313.0 0.14931183420428193
159 3 SYNFlood 0.25 9 452.0 0.11437014131448929
160 3 SYNFlood 0.5 0 765.0 0.13558502316676035
161 3 SYNFlood 0.5 1 26.0 0.024995836547049257
162 3 SYNFlood 0.5 2 50.0 0.03466298859365494
163 3 SYNFlood 0.5 3 3213.0 0.27786661139825697
164 3 SYNFlood 0.5 5 180.0 0.06576839667863182
165 3 SYNFlood 0.5 6 706.0 0.13025168570426718
166 3 SYNFlood 0.5 7 100.0 0.049020868581530715
167 3 SYNFlood 0.5 8 1313.0 0.17762879315213387
168 3 SYNFlood 0.5 9 452.0 0.10421979617771486
169 3 SYNFlood 0.75 0 765.0 0.1279996701555037
170 3 SYNFlood 0.75 1 26.0 0.010131944102041409
171 3 SYNFlood 0.75 2 50.0 0.01654589551133701
172 3 SYNFlood 0.75 3 3213.0 0.3755310212495605
173 3 SYNFlood 0.75 5 180.0 0.04324313315561158
174 3 SYNFlood 0.75 6 706.0 0.12052199166900539
175 3 SYNFlood 0.75 7 100.0 0.02782676844529163
176 3 SYNFlood 0.75 8 1313.0 0.19193815626659044
177 3 SYNFlood 0.75 9 452.0 0.08626141944505823
178 3 SYNFlood 1.0 0 765.0 0.112417340191036
179 3 SYNFlood 1.0 1 26.0 0.0038207200587803084
180 3 SYNFlood 1.0 2 50.0 0.0073475385745775165
181 3 SYNFlood 1.0 3 3213.0 0.4721528288023512
182 3 SYNFlood 1.0 5 180.0 0.02645113886847906
183 3 SYNFlood 1.0 6 706.0 0.10374724467303453
184 3 SYNFlood 1.0 7 100.0 0.014695077149155033
185 3 SYNFlood 1.0 8 1313.0 0.1929463629684056
186 3 SYNFlood 1.0 9 452.0 0.06642174871418074
187 4 SYNScan 0.0 0 252.0 0.1
188 4 SYNScan 0.0 1 82.0 0.1
189 4 SYNScan 0.0 2 1089.0 0.1
190 4 SYNScan 0.0 3 697.0 0.1
191 4 SYNScan 0.0 4 2163.0 0.1
192 4 SYNScan 0.0 5 645.0 0.1
193 4 SYNScan 0.0 6 4335.0 0.1
194 4 SYNScan 0.0 7 3133.0 0.1
195 4 SYNScan 0.0 8 145.0 0.1
196 4 SYNScan 0.0 9 1489.0 0.1
197 4 SYNScan 0.25 0 252.0 0.07242414355126282
198 4 SYNScan 0.25 1 82.0 0.054699920618140226
199 4 SYNScan 0.25 2 1089.0 0.10442156622187727
200 4 SYNScan 0.25 3 697.0 0.09339882819636679
201 4 SYNScan 0.25 4 2163.0 0.12396450850188562
202 4 SYNScan 0.25 5 645.0 0.0916058400440767
203 4 SYNScan 0.25 6 4335.0 0.1474960902563833
204 4 SYNScan 0.25 7 3133.0 0.13599512222858523
205 4 SYNScan 0.25 8 145.0 0.06307761056847418
206 4 SYNScan 0.25 9 1489.0 0.11291636981294788
207 4 SYNScan 0.5 0 252.0 0.04829795919604068
208 4 SYNScan 0.5 1 82.0 0.02755087751931175
209 4 SYNScan 0.5 2 1089.0 0.1004020198222397
210 4 SYNScan 0.5 3 697.0 0.08032392073794081
211 4 SYNScan 0.5 4 2163.0 0.14150010743156943
212 4 SYNScan 0.5 5 645.0 0.07726954718309904
213 4 SYNScan 0.5 6 4335.0 0.20031942308639586
214 4 SYNScan 0.5 7 3133.0 0.17029767050737452
215 4 SYNScan 0.5 8 145.0 0.0366363762906448
216 4 SYNScan 0.5 9 1489.0 0.11740209822538342
217 4 SYNScan 0.75 0 252.0 0.030184790055429418
218 4 SYNScan 0.75 1 82.0 0.01300463427692813
219 4 SYNScan 0.75 2 1089.0 0.0904708485665422
220 4 SYNScan 0.75 3 697.0 0.06473845602776503
221 4 SYNScan 0.75 4 2163.0 0.1513666305442359
222 4 SYNScan 0.75 5 645.0 0.061081197092719634
223 4 SYNScan 0.75 6 4335.0 0.25496442056819213
224 4 SYNScan 0.75 7 3133.0 0.19985179353906454
225 4 SYNScan 0.75 8 145.0 0.01994177241796763
226 4 SYNScan 0.75 9 1489.0 0.11439545691115544
227 4 SYNScan 1.0 0 252.0 0.01796151104775481
228 4 SYNScan 1.0 1 82.0 0.005844618674269423
229 4 SYNScan 1.0 2 1089.0 0.07761938702779758
230 4 SYNScan 1.0 3 697.0 0.049679258731290095
231 4 SYNScan 1.0 4 2163.0 0.1541696364932288
232 4 SYNScan 1.0 5 645.0 0.045972915181753386
233 4 SYNScan 1.0 6 4335.0 0.3089807555238774
234 4 SYNScan 1.0 7 3133.0 0.2233071988595866
235 4 SYNScan 1.0 8 145.0 0.010334996436208126
236 4 SYNScan 1.0 9 1489.0 0.10612972202423379
237 5 SlowrateDoS 0.0 0 2.0 0.1
238 5 SlowrateDoS 0.0 1 11818.0 0.1
239 5 SlowrateDoS 0.0 2 585.0 0.1
240 5 SlowrateDoS 0.0 3 15285.0 0.1
241 5 SlowrateDoS 0.0 4 10667.0 0.1
242 5 SlowrateDoS 0.0 5 1615.0 0.1
243 5 SlowrateDoS 0.0 6 612.0 0.1
244 5 SlowrateDoS 0.0 7 277.0 0.1
245 5 SlowrateDoS 0.0 8 645.0 0.1
246 5 SlowrateDoS 0.0 9 9681.0 0.1
247 5 SlowrateDoS 0.25 0 2.0 0.017445508249885874
248 5 SlowrateDoS 0.25 1 11818.0 0.15295445257234067
249 5 SlowrateDoS 0.25 2 585.0 0.07214647123545057
250 5 SlowrateDoS 0.25 3 15285.0 0.1631144696415147
251 5 SlowrateDoS 0.25 4 10667.0 0.14908594461428493
252 5 SlowrateDoS 0.25 5 1615.0 0.09299706861656286
253 5 SlowrateDoS 0.25 6 612.0 0.07296489857862223
254 5 SlowrateDoS 0.25 7 277.0 0.059847507780173864
255 5 SlowrateDoS 0.25 8 645.0 0.07392920844461508
256 5 SlowrateDoS 0.25 9 9681.0 0.14551447026654915
257 5 SlowrateDoS 0.5 0 2.0 0.002496038477437105
258 5 SlowrateDoS 0.5 1 11818.0 0.1918705280904866
259 5 SlowrateDoS 0.5 2 585.0 0.04268882598113483
260 5 SlowrateDoS 0.5 3 15285.0 0.21820716133497928
261 5 SlowrateDoS 0.5 4 10667.0 0.18228772531137422
262 5 SlowrateDoS 0.5 5 1615.0 0.07092878840980989
263 5 SlowrateDoS 0.5 6 612.0 0.04366284086885599
264 5 SlowrateDoS 0.5 7 277.0 0.029374884156320443
265 5 SlowrateDoS 0.5 8 645.0 0.0448245703389671
266 5 SlowrateDoS 0.5 9 9681.0 0.17365863703063456
267 5 SlowrateDoS 0.75 0 2.0 0.00032168602094297447
268 5 SlowrateDoS 0.75 1 11818.0 0.21680419502455944
269 5 SlowrateDoS 0.75 2 585.0 0.0227523673794284
270 5 SlowrateDoS 0.75 3 15285.0 0.2629412809596601
271 5 SlowrateDoS 0.75 4 10667.0 0.20076657647846494
272 5 SlowrateDoS 0.75 5 1615.0 0.04872917817940291
273 5 SlowrateDoS 0.75 6 612.0 0.023535490762220078
274 5 SlowrateDoS 0.75 7 277.0 0.012987319324462248
275 5 SlowrateDoS 0.75 8 645.0 0.024481018270352813
276 5 SlowrateDoS 0.75 9 9681.0 0.18668088760050608
277 5 SlowrateDoS 1.0 0 2.0 3.907242073182644e-05
278 5 SlowrateDoS 1.0 1 11818.0 0.23087893410436244
279 5 SlowrateDoS 1.0 2 585.0 0.011428683064059234
280 5 SlowrateDoS 1.0 3 15285.0 0.2986109754429836
281 5 SlowrateDoS 1.0 4 10667.0 0.20839275597319631
282 5 SlowrateDoS 1.0 5 1615.0 0.03155097974094985
283 5 SlowrateDoS 1.0 6 612.0 0.01195616074393889
284 5 SlowrateDoS 1.0 7 277.0 0.005411530271357962
285 5 SlowrateDoS 1.0 8 645.0 0.012600855686014026
286 5 SlowrateDoS 1.0 9 9681.0 0.1891300525524059
287 6 TCPConnectScan 0.0 0 2742.0 0.1
288 6 TCPConnectScan 0.0 1 386.0 0.1
289 6 TCPConnectScan 0.0 2 1933.0 0.1
290 6 TCPConnectScan 0.0 3 363.0 0.1
291 6 TCPConnectScan 0.0 4 1926.0 0.1
292 6 TCPConnectScan 0.0 5 379.0 0.1
293 6 TCPConnectScan 0.0 6 2301.0 0.1
294 6 TCPConnectScan 0.0 7 3531.0 0.1
295 6 TCPConnectScan 0.0 8 424.0 0.1
296 6 TCPConnectScan 0.0 9 52.0 0.1
297 6 TCPConnectScan 0.25 0 2742.0 0.13024555918572311
298 6 TCPConnectScan 0.25 1 386.0 0.07977978988905458
299 6 TCPConnectScan 0.25 2 1933.0 0.11934494414218169
300 6 TCPConnectScan 0.25 3 363.0 0.07856384285625145
301 6 TCPConnectScan 0.25 4 1926.0 0.11923675072540796
302 6 TCPConnectScan 0.25 5 379.0 0.07941560788140835
303 6 TCPConnectScan 0.25 6 2301.0 0.1246594529440571
304 6 TCPConnectScan 0.25 7 3531.0 0.1387460063931698
305 6 TCPConnectScan 0.25 8 424.0 0.08167469590813603
306 6 TCPConnectScan 0.25 9 52.0 0.048333350074609864
307 6 TCPConnectScan 0.5 0 2742.0 0.15697762275120183
308 6 TCPConnectScan 0.5 1 386.0 0.058897610414013916
309 6 TCPConnectScan 0.5 2 1933.0 0.13180137763581493
310 6 TCPConnectScan 0.5 3 363.0 0.057115940853330174
311 6 TCPConnectScan 0.5 4 1926.0 0.13156251410139447
312 6 TCPConnectScan 0.5 5 379.0 0.05836112132628944
313 6 TCPConnectScan 0.5 6 2301.0 0.14380114100178865
314 6 TCPConnectScan 0.5 7 3531.0 0.17813648619503142
315 6 TCPConnectScan 0.5 8 424.0 0.06172867442988128
316 6 TCPConnectScan 0.5 9 52.0 0.021617511291253833
317 6 TCPConnectScan 0.75 0 2742.0 0.1787021209550815
318 6 TCPConnectScan 0.75 1 386.0 0.04106951722237255
319 6 TCPConnectScan 0.75 2 1933.0 0.13748426926445553
320 6 TCPConnectScan 0.75 3 363.0 0.03922013533812336
321 6 TCPConnectScan 0.75 4 1926.0 0.13711069469784176
322 6 TCPConnectScan 0.75 5 379.0 0.040509653333244765
323 6 TCPConnectScan 0.75 6 2301.0 0.15668108964034314
324 6 TCPConnectScan 0.75 7 3531.0 0.21602420093040328
325 6 TCPConnectScan 0.75 8 424.0 0.04406598797827437
326 6 TCPConnectScan 0.75 9 52.0 0.009132330639859652
327 6 TCPConnectScan 1.0 0 2742.0 0.1953408848044454
328 6 TCPConnectScan 1.0 1 386.0 0.027498753294863575
329 6 TCPConnectScan 1.0 2 1933.0 0.1377074873548479
330 6 TCPConnectScan 1.0 3 363.0 0.025860226544133363
331 6 TCPConnectScan 1.0 4 1926.0 0.13720880530027785
332 6 TCPConnectScan 1.0 5 379.0 0.02700007124029351
333 6 TCPConnectScan 1.0 6 2301.0 0.1639239153665313
334 6 TCPConnectScan 1.0 7 3531.0 0.2515494763838427
335 6 TCPConnectScan 1.0 8 424.0 0.030205884448243927
336 6 TCPConnectScan 1.0 9 52.0 0.0037044952625204814
337 7 UDPFlood 0.0 0 21728.0 0.1
338 7 UDPFlood 0.0 1 6626.0 0.1
339 7 UDPFlood 0.0 2 124158.0 0.1
340 7 UDPFlood 0.0 3 2320.0 0.1
341 7 UDPFlood 0.0 4 2960.0 0.1
342 7 UDPFlood 0.0 5 23593.0 0.1
343 7 UDPFlood 0.0 6 41823.0 0.1
344 7 UDPFlood 0.0 7 4005.0 0.1
345 7 UDPFlood 0.0 8 24580.0 0.1
346 7 UDPFlood 0.0 9 68345.0 0.1
347 7 UDPFlood 0.25 0 21728.0 0.1032486891832646
348 7 UDPFlood 0.25 1 6626.0 0.0767259839137836
349 7 UDPFlood 0.25 2 124158.0 0.15963322425413598
350 7 UDPFlood 0.25 3 2320.0 0.059020326101724904
351 7 UDPFlood 0.25 4 2960.0 0.06272671387028014
352 7 UDPFlood 0.25 5 23593.0 0.10539630861027315
353 7 UDPFlood 0.25 6 41823.0 0.12161395265942014
354 7 UDPFlood 0.25 7 4005.0 0.06765193744717425
355 7 UDPFlood 0.25 8 24580.0 0.10648172502218263
356 7 UDPFlood 0.25 9 68345.0 0.13750113893776056
357 7 UDPFlood 0.5 0 21728.0 0.09676394549386817
358 7 UDPFlood 0.5 1 6626.0 0.05343544219078325
359 7 UDPFlood 0.5 2 124158.0 0.23130820900525215
360 7 UDPFlood 0.5 3 2320.0 0.03161896750888523
361 7 UDPFlood 0.5 4 2960.0 0.035714908957838354
362 7 UDPFlood 0.5 5 23593.0 0.1008312789190247
363 7 UDPFlood 0.5 6 41823.0 0.1342490690649567
364 7 UDPFlood 0.5 7 4005.0 0.041543678825587106
365 7 UDPFlood 0.5 8 24580.0 0.10291878040126987
366 7 UDPFlood 0.5 9 68345.0 0.17161571963253452
367 7 UDPFlood 0.75 0 21728.0 0.08364506855388486
368 7 UDPFlood 0.75 1 6626.0 0.03432528095423779
369 7 UDPFlood 0.75 2 124158.0 0.3091409648741925
370 7 UDPFlood 0.75 3 2320.0 0.015623974290984824
371 7 UDPFlood 0.75 4 2960.0 0.01875617647334675
372 7 UDPFlood 0.75 5 23593.0 0.088973956403598
373 7 UDPFlood 0.75 6 41823.0 0.13669005347953717
374 7 UDPFlood 0.75 7 4005.0 0.023530297455976276
375 7 UDPFlood 0.75 8 24580.0 0.09175123863343553
376 7 UDPFlood 0.75 9 68345.0 0.1975629888808063
377 7 UDPFlood 1.0 0 21728.0 0.0678707307473652
378 7 UDPFlood 1.0 1 6626.0 0.020697324278904722
379 7 UDPFlood 1.0 2 124158.0 0.3878264998219518
380 7 UDPFlood 1.0 3 2320.0 0.007246874785248861
381 7 UDPFlood 1.0 4 2960.0 0.009246012657041652
382 7 UDPFlood 1.0 5 23593.0 0.07369634345188637
383 7 UDPFlood 1.0 6 41823.0 0.13064053626873412
384 7 UDPFlood 1.0 7 4005.0 0.012510229963328314
385 7 UDPFlood 1.0 8 24580.0 0.07677938888854181
386 7 UDPFlood 1.0 9 68345.0 0.21348605913699717
387 8 UDPScan 0.0 0 3082.0 0.1
388 8 UDPScan 0.0 1 886.0 0.1
389 8 UDPScan 0.0 2 243.0 0.1
390 8 UDPScan 0.0 3 2343.0 0.1
391 8 UDPScan 0.0 4 3370.0 0.1
392 8 UDPScan 0.0 5 198.0 0.1
393 8 UDPScan 0.0 6 429.0 0.1
394 8 UDPScan 0.0 7 404.0 0.1
395 8 UDPScan 0.0 8 74.0 0.1
396 8 UDPScan 0.0 9 105.0 0.1
397 8 UDPScan 0.25 0 3082.0 0.14797900927937715
398 8 UDPScan 0.25 1 886.0 0.10835535697927427
399 8 UDPScan 0.25 2 243.0 0.07841398498640019
400 8 UDPScan 0.25 3 2343.0 0.1381767676080313
401 8 UDPScan 0.25 4 3370.0 0.1513210799162483
402 8 UDPScan 0.25 5 198.0 0.0745003399316188
403 8 UDPScan 0.25 6 429.0 0.09038706404161413
404 8 UDPScan 0.25 7 404.0 0.08904044013159443
405 8 UDPScan 0.25 8 74.0 0.058250530741306164
406 8 UDPScan 0.25 9 105.0 0.0635754263845353
407 8 UDPScan 0.5 0 3082.0 0.19752365608310427
408 8 UDPScan 0.5 1 886.0 0.10590577907403338
409 8 UDPScan 0.5 2 243.0 0.05546332927204847
410 8 UDPScan 0.5 3 2343.0 0.17222212466545198
411 8 UDPScan 0.5 4 3370.0 0.2065464566021007
412 8 UDPScan 0.5 5 198.0 0.050065135228343514
413 8 UDPScan 0.5 6 429.0 0.07369388367951599
414 8 UDPScan 0.5 7 404.0 0.07151439698363272
415 8 UDPScan 0.5 8 74.0 0.030606851632906426
416 8 UDPScan 0.5 9 105.0 0.03645838677886257
417 8 UDPScan 0.75 0 3082.0 0.24163464527465728
418 8 UDPScan 0.75 1 886.0 0.0948658754014929
419 8 UDPScan 0.75 2 243.0 0.03595335578439897
420 8 UDPScan 0.75 3 2343.0 0.1967269884365805
421 8 UDPScan 0.75 4 3370.0 0.2583789641988238
422 8 UDPScan 0.75 5 198.0 0.03083426637509927
423 8 UDPScan 0.75 6 429.0 0.05506526027991086
424 8 UDPScan 0.75 7 404.0 0.052640590341925635
425 8 UDPScan 0.75 8 74.0 0.01473867753239636
426 8 UDPScan 0.75 9 105.0 0.01916137637471448
427 8 UDPScan 1.0 0 3082.0 0.27680977186994793
428 8 UDPScan 1.0 1 886.0 0.07957607328902461
429 8 UDPScan 1.0 2 243.0 0.021825040416741513
430 8 UDPScan 1.0 3 2343.0 0.21043650080833484
431 8 UDPScan 1.0 4 3370.0 0.3026764864379379
432 8 UDPScan 1.0 5 198.0 0.017783366265493084
433 8 UDPScan 1.0 6 429.0 0.03853062690856835
434 8 UDPScan 1.0 7 404.0 0.036285252380097
435 8 UDPScan 1.0 8 74.0 0.006646308604275193
436 8 UDPScan 1.0 9 105.0 0.009430573019579665
@@ -0,0 +1,46 @@
class_id,class_name,beta,n_contributors,support_min,support_max,support_mean,prototype_norm,reference_norm_beta0,displacement_from_beta0,relative_displacement
0,Benign,0.0,10,3896,83388,33441.5,6.104335918785211,6.104335918785211,0.0,0.0
0,Benign,0.25,10,3896,83388,33441.5,6.103680142512255,6.104335918785211,0.20004033735439222,0.032770204657118725
0,Benign,0.5,10,3896,83388,33441.5,6.105884136907888,6.104335918785211,0.38907686021198906,0.06373778661404614
0,Benign,0.75,10,3896,83388,33441.5,6.111778031338453,6.104335918785211,0.5531271037155966,0.09061216667540001
0,Benign,1.0,10,3896,83388,33441.5,6.120776466059642,6.104335918785211,0.685467892734488,0.11229196784945267
1,HTTPFlood,0.0,10,621,25248,9856.9,8.39027261171415,8.39027261171415,0.0,0.0
1,HTTPFlood,0.25,10,621,25248,9856.9,8.7156607809775,8.39027261171415,0.39845930233897847,0.0474906264407507
1,HTTPFlood,0.5,10,621,25248,9856.9,8.922068703643845,8.39027261171415,0.6511726176330591,0.07761042432923083
1,HTTPFlood,0.75,10,621,25248,9856.9,9.054688423037415,8.39027261171415,0.8186103617659485,0.0975665988043152
1,HTTPFlood,1.0,10,621,25248,9856.9,9.145627606342796,8.39027261171415,0.9406614395494424,0.11211333446259301
2,ICMPFlood,0.0,9,15,285,89.77777777777777,3.9076913379751574,3.9076913379751574,0.0,0.0
2,ICMPFlood,0.25,9,15,285,89.77777777777777,3.871353739465118,3.9076913379751574,0.18808604367866333,0.04813226721640804
2,ICMPFlood,0.5,9,15,285,89.77777777777777,3.836157619375964,3.9076913379751574,0.3892936687360956,0.09962242026459933
2,ICMPFlood,0.75,9,15,285,89.77777777777777,3.8048769306591543,3.9076913379751574,0.5806461714628571,0.1485905925629555
2,ICMPFlood,1.0,9,15,285,89.77777777777777,3.7780031319802614,3.9076913379751574,0.7455716558257477,0.19079594352303153
3,SYNFlood,0.0,10,57,2358,680.5,3.762358292797355,3.762358292797355,0.0,0.0
3,SYNFlood,0.25,10,57,2358,680.5,3.8652368610142593,3.762358292797355,0.503724248485336,0.13388524145870528
3,SYNFlood,0.5,10,57,2358,680.5,4.024115990939786,3.762358292797355,0.9903052787994496,0.2632139742499502
3,SYNFlood,0.75,10,57,2358,680.5,4.208255037754603,3.762358292797355,1.425964163319618,0.3790080721576886
3,SYNFlood,1.0,10,57,2358,680.5,4.390926601051283,3.762358292797355,1.7971017154922897,0.47765299730561406
4,SYNScan,0.0,9,133,3883,1558.888888888889,8.413812019940961,8.413812019940961,0.0,0.0
4,SYNScan,0.25,9,133,3883,1558.888888888889,8.520324813474636,8.413812019940961,0.2712995671528225,0.032244548191691855
4,SYNScan,0.5,9,133,3883,1558.888888888889,8.619447839918248,8.413812019940961,0.4974266930761591,0.05912025273410488
4,SYNScan,0.75,9,133,3883,1558.888888888889,8.704446439980822,8.413812019940961,0.6817528629603612,0.08102782203174834
4,SYNScan,1.0,9,133,3883,1558.888888888889,8.773841676743299,8.413812019940961,0.8310393297936969,0.0987708458216218
5,SlowrateDoS,0.0,10,514,12114,5118.7,6.959458126537858,6.959458126537858,0.0,0.0
5,SlowrateDoS,0.25,10,514,12114,5118.7,7.246381770420247,6.959458126537858,0.3849888650074708,0.05531879896502694
5,SlowrateDoS,0.5,10,514,12114,5118.7,7.455540543534935,6.959458126537858,0.663982981259247,0.09540728159960359
5,SlowrateDoS,0.75,10,514,12114,5118.7,7.606716667407999,6.959458126537858,0.8681957938468777,0.12475048747491806
5,SlowrateDoS,1.0,10,514,12114,5118.7,7.717703603028891,6.959458126537858,1.0223779494937628,0.14690482087897383
6,TCPConnectScan,0.0,10,326,2861,1403.7,4.103354137092167,4.103354137092167,0.0,0.0
6,TCPConnectScan,0.25,10,326,2861,1403.7,4.145661404007996,4.103354137092167,0.20349619083032527,0.049592646413534364
6,TCPConnectScan,0.5,10,326,2861,1403.7,4.193091769999703,4.103354137092167,0.3869265339985526,0.09429518415214028
6,TCPConnectScan,0.75,10,326,2861,1403.7,4.242581504041738,4.103354137092167,0.5506261437672251,0.13418928159035892
6,TCPConnectScan,1.0,10,326,2861,1403.7,4.291662054708642,4.103354137092167,0.6951966301150282,0.16942155292686428
7,UDPFlood,0.0,10,1031,114825,32013.8,5.6114059319792515,5.6114059319792515,0.0,0.0
7,UDPFlood,0.25,10,1031,114825,32013.8,5.78227882931715,5.6114059319792515,0.38974204058804235,0.0694553281855645
7,UDPFlood,0.5,10,1031,114825,32013.8,5.883561496885371,5.6114059319792515,0.63175646662234,0.11258434593405137
7,UDPFlood,0.75,10,1031,114825,32013.8,5.931378863463405,5.6114059319792515,0.7761025950408855,0.13830804694023252
7,UDPFlood,1.0,10,1031,114825,32013.8,5.950955332441236,5.6114059319792515,0.8728365529033226,0.15554685643557714
8,UDPScan,0.0,10,5,2727,1113.4,8.694907133831341,8.694907133831341,0.0,0.0
8,UDPScan,0.25,10,5,2727,1113.4,9.144102024278636,8.694907133831341,1.2867485110982368,0.1479887583953115
8,UDPScan,0.5,10,5,2727,1113.4,9.489425340921786,8.694907133831341,2.0454996845102325,0.23525262007127376
8,UDPScan,0.75,10,5,2727,1113.4,9.690825884207838,8.694907133831341,2.446728016676739,0.28139783197415336
8,UDPScan,1.0,10,5,2727,1113.4,9.792775468237512,8.694907133831341,2.6454279671273544,0.30425028426516015
1 class_id class_name beta n_contributors support_min support_max support_mean prototype_norm reference_norm_beta0 displacement_from_beta0 relative_displacement
2 0 Benign 0.0 10 3896 83388 33441.5 6.104335918785211 6.104335918785211 0.0 0.0
3 0 Benign 0.25 10 3896 83388 33441.5 6.103680142512255 6.104335918785211 0.20004033735439222 0.032770204657118725
4 0 Benign 0.5 10 3896 83388 33441.5 6.105884136907888 6.104335918785211 0.38907686021198906 0.06373778661404614
5 0 Benign 0.75 10 3896 83388 33441.5 6.111778031338453 6.104335918785211 0.5531271037155966 0.09061216667540001
6 0 Benign 1.0 10 3896 83388 33441.5 6.120776466059642 6.104335918785211 0.685467892734488 0.11229196784945267
7 1 HTTPFlood 0.0 10 621 25248 9856.9 8.39027261171415 8.39027261171415 0.0 0.0
8 1 HTTPFlood 0.25 10 621 25248 9856.9 8.7156607809775 8.39027261171415 0.39845930233897847 0.0474906264407507
9 1 HTTPFlood 0.5 10 621 25248 9856.9 8.922068703643845 8.39027261171415 0.6511726176330591 0.07761042432923083
10 1 HTTPFlood 0.75 10 621 25248 9856.9 9.054688423037415 8.39027261171415 0.8186103617659485 0.0975665988043152
11 1 HTTPFlood 1.0 10 621 25248 9856.9 9.145627606342796 8.39027261171415 0.9406614395494424 0.11211333446259301
12 2 ICMPFlood 0.0 9 15 285 89.77777777777777 3.9076913379751574 3.9076913379751574 0.0 0.0
13 2 ICMPFlood 0.25 9 15 285 89.77777777777777 3.871353739465118 3.9076913379751574 0.18808604367866333 0.04813226721640804
14 2 ICMPFlood 0.5 9 15 285 89.77777777777777 3.836157619375964 3.9076913379751574 0.3892936687360956 0.09962242026459933
15 2 ICMPFlood 0.75 9 15 285 89.77777777777777 3.8048769306591543 3.9076913379751574 0.5806461714628571 0.1485905925629555
16 2 ICMPFlood 1.0 9 15 285 89.77777777777777 3.7780031319802614 3.9076913379751574 0.7455716558257477 0.19079594352303153
17 3 SYNFlood 0.0 10 57 2358 680.5 3.762358292797355 3.762358292797355 0.0 0.0
18 3 SYNFlood 0.25 10 57 2358 680.5 3.8652368610142593 3.762358292797355 0.503724248485336 0.13388524145870528
19 3 SYNFlood 0.5 10 57 2358 680.5 4.024115990939786 3.762358292797355 0.9903052787994496 0.2632139742499502
20 3 SYNFlood 0.75 10 57 2358 680.5 4.208255037754603 3.762358292797355 1.425964163319618 0.3790080721576886
21 3 SYNFlood 1.0 10 57 2358 680.5 4.390926601051283 3.762358292797355 1.7971017154922897 0.47765299730561406
22 4 SYNScan 0.0 9 133 3883 1558.888888888889 8.413812019940961 8.413812019940961 0.0 0.0
23 4 SYNScan 0.25 9 133 3883 1558.888888888889 8.520324813474636 8.413812019940961 0.2712995671528225 0.032244548191691855
24 4 SYNScan 0.5 9 133 3883 1558.888888888889 8.619447839918248 8.413812019940961 0.4974266930761591 0.05912025273410488
25 4 SYNScan 0.75 9 133 3883 1558.888888888889 8.704446439980822 8.413812019940961 0.6817528629603612 0.08102782203174834
26 4 SYNScan 1.0 9 133 3883 1558.888888888889 8.773841676743299 8.413812019940961 0.8310393297936969 0.0987708458216218
27 5 SlowrateDoS 0.0 10 514 12114 5118.7 6.959458126537858 6.959458126537858 0.0 0.0
28 5 SlowrateDoS 0.25 10 514 12114 5118.7 7.246381770420247 6.959458126537858 0.3849888650074708 0.05531879896502694
29 5 SlowrateDoS 0.5 10 514 12114 5118.7 7.455540543534935 6.959458126537858 0.663982981259247 0.09540728159960359
30 5 SlowrateDoS 0.75 10 514 12114 5118.7 7.606716667407999 6.959458126537858 0.8681957938468777 0.12475048747491806
31 5 SlowrateDoS 1.0 10 514 12114 5118.7 7.717703603028891 6.959458126537858 1.0223779494937628 0.14690482087897383
32 6 TCPConnectScan 0.0 10 326 2861 1403.7 4.103354137092167 4.103354137092167 0.0 0.0
33 6 TCPConnectScan 0.25 10 326 2861 1403.7 4.145661404007996 4.103354137092167 0.20349619083032527 0.049592646413534364
34 6 TCPConnectScan 0.5 10 326 2861 1403.7 4.193091769999703 4.103354137092167 0.3869265339985526 0.09429518415214028
35 6 TCPConnectScan 0.75 10 326 2861 1403.7 4.242581504041738 4.103354137092167 0.5506261437672251 0.13418928159035892
36 6 TCPConnectScan 1.0 10 326 2861 1403.7 4.291662054708642 4.103354137092167 0.6951966301150282 0.16942155292686428
37 7 UDPFlood 0.0 10 1031 114825 32013.8 5.6114059319792515 5.6114059319792515 0.0 0.0
38 7 UDPFlood 0.25 10 1031 114825 32013.8 5.78227882931715 5.6114059319792515 0.38974204058804235 0.0694553281855645
39 7 UDPFlood 0.5 10 1031 114825 32013.8 5.883561496885371 5.6114059319792515 0.63175646662234 0.11258434593405137
40 7 UDPFlood 0.75 10 1031 114825 32013.8 5.931378863463405 5.6114059319792515 0.7761025950408855 0.13830804694023252
41 7 UDPFlood 1.0 10 1031 114825 32013.8 5.950955332441236 5.6114059319792515 0.8728365529033226 0.15554685643557714
42 8 UDPScan 0.0 10 5 2727 1113.4 8.694907133831341 8.694907133831341 0.0 0.0
43 8 UDPScan 0.25 10 5 2727 1113.4 9.144102024278636 8.694907133831341 1.2867485110982368 0.1479887583953115
44 8 UDPScan 0.5 10 5 2727 1113.4 9.489425340921786 8.694907133831341 2.0454996845102325 0.23525262007127376
45 8 UDPScan 0.75 10 5 2727 1113.4 9.690825884207838 8.694907133831341 2.446728016676739 0.28139783197415336
46 8 UDPScan 1.0 10 5 2727 1113.4 9.792775468237512 8.694907133831341 2.6454279671273544 0.30425028426516015
@@ -0,0 +1,441 @@
class_id,class_name,beta,client_id,N_ij,weight
0,Benign,0.0,0,15512.0,0.1
0,Benign,0.0,1,5328.0,0.1
0,Benign,0.0,2,8864.0,0.1
0,Benign,0.0,3,80420.0,0.1
0,Benign,0.0,4,3896.0,0.1
0,Benign,0.0,5,20027.0,0.1
0,Benign,0.0,6,13275.0,0.1
0,Benign,0.0,7,31700.0,0.1
0,Benign,0.0,8,83388.0,0.1
0,Benign,0.0,9,72005.0,0.1
0,Benign,0.25,0,15512.0,0.0903687784692775
0,Benign,0.25,1,5328.0,0.06918190504586544
0,Benign,0.25,2,8864.0,0.07857038834553617
0,Benign,0.25,3,80420.0,0.13636172297965832
0,Benign,0.25,4,3896.0,0.06397439683009679
0,Benign,0.25,5,20027.0,0.09632864188710004
0,Benign,0.25,6,13275.0,0.0869180741989955
0,Benign,0.25,7,31700.0,0.10804788706094473
0,Benign,0.25,8,83388.0,0.13760282569654525
0,Benign,0.25,9,72005.0,0.13264537948598024
0,Benign,0.5,0,15512.0,0.0764291241476481
0,Benign,0.5,1,5328.0,0.04479268466238382
0,Benign,0.5,2,8864.0,0.05777498726204524
0,Benign,0.5,3,80420.0,0.17402314740281052
0,Benign,0.5,4,3896.0,0.03830314714018961
0,Benign,0.5,5,20027.0,0.08684262323584736
0,Benign,0.5,6,13275.0,0.07070371759877431
0,Benign,0.5,7,31700.0,0.10925834452215384
0,Benign,0.5,8,83388.0,0.1772053230920866
0,Benign,0.5,9,72005.0,0.16466690093606054
0,Benign,0.75,0,15512.0,0.06097765817356159
0,Benign,0.75,1,5328.0,0.02735854876431004
0,Benign,0.75,2,8864.0,0.040076723189388506
0,Benign,0.75,3,80420.0,0.20950430231910533
0,Benign,0.75,4,3896.0,0.021633864513301886
0,Benign,0.75,5,20027.0,0.07385532570339268
0,Benign,0.75,6,13275.0,0.054255752546630044
0,Benign,0.75,7,31700.0,0.10422318504941018
0,Benign,0.75,8,83388.0,0.21527696529465443
0,Benign,0.75,9,72005.0,0.1928376744462453
0,Benign,1.0,0,15512.0,0.04638547912025477
0,Benign,1.0,1,5328.0,0.01593229968751402
0,Benign,1.0,2,8864.0,0.026505988068717012
0,Benign,1.0,3,80420.0,0.24047964355665866
0,Benign,1.0,4,3896.0,0.011650195116845835
0,Benign,1.0,5,20027.0,0.05988666776310871
0,Benign,1.0,6,13275.0,0.03969618587682969
0,Benign,1.0,7,31700.0,0.09479239866632777
0,Benign,1.0,8,83388.0,0.24935484353273626
0,Benign,1.0,9,72005.0,0.2153162986110073
1,HTTPFlood,0.0,0,9688.0,0.1
1,HTTPFlood,0.0,1,15997.0,0.1
1,HTTPFlood,0.0,2,4494.0,0.1
1,HTTPFlood,0.0,3,621.0,0.1
1,HTTPFlood,0.0,4,2280.0,0.1
1,HTTPFlood,0.0,5,25248.0,0.1
1,HTTPFlood,0.0,6,7039.0,0.1
1,HTTPFlood,0.0,7,13892.0,0.1
1,HTTPFlood,0.0,8,12304.0,0.1
1,HTTPFlood,0.0,9,7006.0,0.1
1,HTTPFlood,0.25,0,9688.0,0.10604019751174108
1,HTTPFlood,0.25,1,15997.0,0.12020475058245225
1,HTTPFlood,0.25,2,4494.0,0.08751253462076565
1,HTTPFlood,0.25,3,621.0,0.05335620045517997
1,HTTPFlood,0.25,4,2280.0,0.07385768775944955
1,HTTPFlood,0.25,5,25248.0,0.13473137463967969
1,HTTPFlood,0.25,6,7039.0,0.09790158810672434
1,HTTPFlood,0.25,7,13892.0,0.11603878935392674
1,HTTPFlood,0.25,8,12304.0,0.1125702358677111
1,HTTPFlood,0.25,9,7006.0,0.09778664110236958
1,HTTPFlood,0.5,0,9688.0,0.10699843512082603
1,HTTPFlood,0.5,1,15997.0,0.13749269776328543
1,HTTPFlood,0.5,2,4494.0,0.07287471931529746
1,HTTPFlood,0.5,3,621.0,0.02708982260359105
1,HTTPFlood,0.5,4,2280.0,0.051907221738743604
1,HTTPFlood,0.5,5,25248.0,0.17273241768713649
1,HTTPFlood,0.5,6,7039.0,0.09120441112447619
1,HTTPFlood,0.5,7,13892.0,0.12812761681825574
1,HTTPFlood,0.5,8,12304.0,0.12058228857114697
1,HTTPFlood,0.5,9,7006.0,0.09099036925724102
1,HTTPFlood,0.75,0,9688.0,0.10402527636194604
1,HTTPFlood,0.75,1,15997.0,0.151527755131755
1,HTTPFlood,0.75,2,4494.0,0.0584706715318024
1,HTTPFlood,0.75,3,621.0,0.013252016891553522
1,HTTPFlood,0.75,4,2280.0,0.035149116720886754
1,HTTPFlood,0.75,5,25248.0,0.2133700784019601
1,HTTPFlood,0.75,6,7039.0,0.08186466793521056
1,HTTPFlood,0.75,7,13892.0,0.13631286996144415
1,HTTPFlood,0.75,8,12304.0,0.1244508945030246
1,HTTPFlood,0.75,9,7006.0,0.08157665256041689
1,HTTPFlood,1.0,0,9688.0,0.09828647952195924
1,HTTPFlood,1.0,1,15997.0,0.1622924043056133
1,HTTPFlood,1.0,2,4494.0,0.04559242763952155
1,HTTPFlood,1.0,3,621.0,0.006300155221215595
1,HTTPFlood,1.0,4,2280.0,0.023131004676926824
1,HTTPFlood,1.0,5,25248.0,0.2561454412644949
1,HTTPFlood,1.0,6,7039.0,0.07141190435126663
1,HTTPFlood,1.0,7,13892.0,0.14093680568941552
1,HTTPFlood,1.0,8,12304.0,0.1248262638354858
1,HTTPFlood,1.0,9,7006.0,0.07107711349410058
2,ICMPFlood,0.0,0,27.0,0.1111111111111111
2,ICMPFlood,0.0,1,25.0,0.1111111111111111
2,ICMPFlood,0.0,2,30.0,0.1111111111111111
2,ICMPFlood,0.0,4,15.0,0.1111111111111111
2,ICMPFlood,0.0,5,37.0,0.1111111111111111
2,ICMPFlood,0.0,6,15.0,0.1111111111111111
2,ICMPFlood,0.0,7,240.0,0.1111111111111111
2,ICMPFlood,0.0,8,134.0,0.1111111111111111
2,ICMPFlood,0.0,9,285.0,0.1111111111111111
2,ICMPFlood,0.25,0,27.0,0.09226794013731165
2,ICMPFlood,0.25,1,25.0,0.09050965017258257
2,ICMPFlood,0.25,2,30.0,0.09473058032471167
2,ICMPFlood,0.25,4,15.0,0.07965860540995409
2,ICMPFlood,0.25,5,37.0,0.09982982623186401
2,ICMPFlood,0.25,6,15.0,0.07965860540995409
2,ICMPFlood,0.25,7,240.0,0.15931721081990818
2,ICMPFlood,0.25,8,134.0,0.13771653391529493
2,ICMPFlood,0.25,9,285.0,0.1663110475784188
2,ICMPFlood,0.5,0,27.0,0.07074232313946355
2,ICMPFlood,0.5,1,25.0,0.06807183217944796
2,ICMPFlood,0.5,2,30.0,0.0745689560307794
2,ICMPFlood,0.5,4,15.0,0.05272821447536561
2,ICMPFlood,0.5,5,37.0,0.08281295802997891
2,ICMPFlood,0.5,6,15.0,0.05272821447536561
2,ICMPFlood,0.5,7,240.0,0.21091285790146244
2,ICMPFlood,0.5,8,134.0,0.15759768539667937
2,ICMPFlood,0.5,9,285.0,0.22983695837145723
2,ICMPFlood,0.75,0,27.0,0.05022878207674331
2,ICMPFlood,0.75,1,25.0,0.04741162395176168
2,ICMPFlood,0.75,2,30.0,0.054358913245697534
2,ICMPFlood,0.75,4,15.0,0.032322003197799584
2,ICMPFlood,0.75,5,37.0,0.06361816199370575
2,ICMPFlood,0.75,6,15.0,0.032322003197799584
2,ICMPFlood,0.75,7,240.0,0.2585760255823967
2,ICMPFlood,0.75,8,134.0,0.16701613274236715
2,ICMPFlood,0.75,9,285.0,0.29414635401172873
2,ICMPFlood,1.0,0,27.0,0.03341584158415842
2,ICMPFlood,1.0,1,25.0,0.03094059405940594
2,ICMPFlood,1.0,2,30.0,0.03712871287128713
2,ICMPFlood,1.0,4,15.0,0.018564356435643563
2,ICMPFlood,1.0,5,37.0,0.04579207920792079
2,ICMPFlood,1.0,6,15.0,0.018564356435643563
2,ICMPFlood,1.0,7,240.0,0.297029702970297
2,ICMPFlood,1.0,8,134.0,0.16584158415841585
2,ICMPFlood,1.0,9,285.0,0.3527227722772277
3,SYNFlood,0.0,0,576.0,0.1
3,SYNFlood,0.0,1,817.0,0.1
3,SYNFlood,0.0,2,1420.0,0.1
3,SYNFlood,0.0,3,229.0,0.1
3,SYNFlood,0.0,4,57.0,0.1
3,SYNFlood,0.0,5,830.0,0.1
3,SYNFlood,0.0,6,199.0,0.1
3,SYNFlood,0.0,7,72.0,0.1
3,SYNFlood,0.0,8,247.0,0.1
3,SYNFlood,0.0,9,2358.0,0.1
3,SYNFlood,0.25,0,576.0,0.10652073286447294
3,SYNFlood,0.25,1,817.0,0.11624761167527639
3,SYNFlood,0.25,2,1420.0,0.13347520943247537
3,SYNFlood,0.25,3,229.0,0.08458383956722204
3,SYNFlood,0.25,4,57.0,0.05974440479158221
3,SYNFlood,0.25,5,830.0,0.11670730701621312
3,SYNFlood,0.25,6,199.0,0.08166609582822648
3,SYNFlood,0.25,7,72.0,0.0633376067088677
3,SYNFlood,0.25,8,247.0,0.08619910630888938
3,SYNFlood,0.25,9,2358.0,0.15151808580677434
3,SYNFlood,0.5,0,576.0,0.10497498620072535
3,SYNFlood,0.5,1,817.0,0.1250217612561194
3,SYNFlood,0.5,2,1420.0,0.1648233575382058
3,SYNFlood,0.5,3,229.0,0.06618999155519105
3,SYNFlood,0.5,4,57.0,0.03302265690251283
3,SYNFlood,0.5,5,830.0,0.12601250085494478
3,SYNFlood,0.5,6,199.0,0.06170226728344592
3,SYNFlood,0.5,7,72.0,0.03711426229874857
3,SYNFlood,0.5,8,247.0,0.06874214208599656
3,SYNFlood,0.5,9,2358.0,0.2123960740241098
3,SYNFlood,0.75,0,576.0,0.09682192641797129
3,SYNFlood,0.75,1,817.0,0.12584135883871006
3,SYNFlood,0.75,2,1420.0,0.19049040934225442
3,SYNFlood,0.75,3,229.0,0.048476746936192874
3,SYNFlood,0.75,4,57.0,0.01708295506500169
3,SYNFlood,0.75,5,830.0,0.12734017021510496
3,SYNFlood,0.75,6,199.0,0.04363115041177043
3,SYNFlood,0.75,7,72.0,0.020354302710707744
3,SYNFlood,0.75,8,247.0,0.05130734853241375
3,SYNFlood,0.75,9,2358.0,0.27865363152987277
3,SYNFlood,1.0,0,576.0,0.08464364437913299
3,SYNFlood,1.0,1,817.0,0.12005878030859662
3,SYNFlood,1.0,2,1420.0,0.20867009551800147
3,SYNFlood,1.0,3,229.0,0.033651726671565026
3,SYNFlood,1.0,4,57.0,0.008376193975018369
3,SYNFlood,1.0,5,830.0,0.12196914033798678
3,SYNFlood,1.0,6,199.0,0.029243203526818515
3,SYNFlood,1.0,7,72.0,0.010580455547391624
3,SYNFlood,1.0,8,247.0,0.03629684055841293
3,SYNFlood,1.0,9,2358.0,0.3465099191770757
4,SYNScan,0.0,0,2805.0,0.1111111111111111
4,SYNScan,0.0,1,921.0,0.1111111111111111
4,SYNScan,0.0,2,133.0,0.1111111111111111
4,SYNScan,0.0,3,2650.0,0.1111111111111111
4,SYNScan,0.0,4,565.0,0.1111111111111111
4,SYNScan,0.0,5,3883.0,0.1111111111111111
4,SYNScan,0.0,7,1949.0,0.1111111111111111
4,SYNScan,0.0,8,400.0,0.1111111111111111
4,SYNScan,0.0,9,724.0,0.1111111111111111
4,SYNScan,0.25,0,2805.0,0.13880379163737666
4,SYNScan,0.25,1,921.0,0.10507103755516096
4,SYNScan,0.25,2,133.0,0.06477106284187761
4,SYNScan,0.25,3,2650.0,0.13684520414033421
4,SYNScan,0.25,4,565.0,0.09298871049606623
4,SYNScan,0.25,5,3883.0,0.15056012301937544
4,SYNScan,0.25,7,1949.0,0.12672755999771373
4,SYNScan,0.25,8,400.0,0.08529687319490242
4,SYNScan,0.25,9,724.0,0.09893563711719278
4,SYNScan,0.5,0,2805.0,0.16373707402819537
4,SYNScan,0.5,1,921.0,0.09382323594665237
4,SYNScan,0.5,2,133.0,0.0356538483556625
4,SYNScan,0.5,3,2650.0,0.15914885904992443
4,SYNScan,0.5,4,565.0,0.07348603519073868
4,SYNScan,0.5,5,3883.0,0.19264790378338853
4,SYNScan,0.5,7,1949.0,0.1364854990536577
4,SYNScan,0.5,8,400.0,0.06183161472219221
4,SYNScan,0.5,9,724.0,0.0831859298695882
4,SYNScan,0.75,0,2805.0,0.18430666277718996
4,SYNScan,0.75,1,921.0,0.07994404316890448
4,SYNScan,0.75,2,133.0,0.018727513421696464
4,SYNScan,0.75,3,2650.0,0.17661427046095715
4,SYNScan,0.75,4,565.0,0.055415049069415453
4,SYNScan,0.75,5,3883.0,0.2352160373368503
4,SYNScan,0.75,7,1949.0,0.14026530668026346
4,SYNScan,0.75,8,400.0,0.04276971731045208
4,SYNScan,0.75,9,724.0,0.06674139977427063
4,SYNScan,1.0,0,2805.0,0.1999287241625089
4,SYNScan,1.0,1,921.0,0.06564504632929437
4,SYNScan,1.0,2,133.0,0.00947968638631504
4,SYNScan,1.0,3,2650.0,0.18888096935138987
4,SYNScan,1.0,4,565.0,0.040270848182466144
4,SYNScan,1.0,5,3883.0,0.2767640769779045
4,SYNScan,1.0,7,1949.0,0.1389166072701354
4,SYNScan,1.0,8,400.0,0.02851033499643621
4,SYNScan,1.0,9,724.0,0.051603706343549535
5,SlowrateDoS,0.0,0,1642.0,0.1
5,SlowrateDoS,0.0,1,6569.0,0.1
5,SlowrateDoS,0.0,2,5965.0,0.1
5,SlowrateDoS,0.0,3,514.0,0.1
5,SlowrateDoS,0.0,4,6824.0,0.1
5,SlowrateDoS,0.0,5,12114.0,0.1
5,SlowrateDoS,0.0,6,7156.0,0.1
5,SlowrateDoS,0.0,7,3092.0,0.1
5,SlowrateDoS,0.0,8,2594.0,0.1
5,SlowrateDoS,0.0,9,4717.0,0.1
5,SlowrateDoS,0.25,0,1642.0,0.07900144513271053
5,SlowrateDoS,0.25,1,6569.0,0.11172916753411194
5,SlowrateDoS,0.25,2,5965.0,0.10906724910475461
5,SlowrateDoS,0.25,3,514.0,0.059092522229049295
5,SlowrateDoS,0.25,4,6824.0,0.11279802667653824
5,SlowrateDoS,0.25,5,12114.0,0.13020079613982327
5,SlowrateDoS,0.25,6,7156.0,0.11414564078572524
5,SlowrateDoS,0.25,7,3092.0,0.09254471425238056
5,SlowrateDoS,0.25,8,2594.0,0.08856950967901898
5,SlowrateDoS,0.25,9,4717.0,0.10285092846588725
5,SlowrateDoS,0.5,0,1642.0,0.06012483903817154
5,SlowrateDoS,0.5,1,6569.0,0.12025883193606603
5,SlowrateDoS,0.5,2,5965.0,0.11459682210374751
5,SlowrateDoS,0.5,3,514.0,0.03363945180430802
5,SlowrateDoS,0.5,4,6824.0,0.1225707544855154
5,SlowrateDoS,0.5,5,12114.0,0.16330938186925004
5,SlowrateDoS,0.5,6,7156.0,0.12551699008981967
5,SlowrateDoS,0.5,7,3092.0,0.08250629645953579
5,SlowrateDoS,0.5,8,2594.0,0.07557050705387465
5,SlowrateDoS,0.5,9,4717.0,0.10190612515971129
5,SlowrateDoS,0.75,0,1642.0,0.04443405697915706
5,SlowrateDoS,0.75,1,6569.0,0.12569284297778993
5,SlowrateDoS,0.75,2,5965.0,0.11692138172583606
5,SlowrateDoS,0.75,3,514.0,0.01859552491992835
5,SlowrateDoS,0.75,4,6824.0,0.12933479130337344
5,SlowrateDoS,0.75,5,12114.0,0.1989077844564697
5,SlowrateDoS,0.75,6,7156.0,0.13402593693654288
5,SlowrateDoS,0.75,7,3092.0,0.07142754392816335
5,SlowrateDoS,0.75,8,2594.0,0.06261286578021116
5,SlowrateDoS,0.75,9,4717.0,0.09804727099252813
5,SlowrateDoS,1.0,0,1642.0,0.03207845742082951
5,SlowrateDoS,1.0,1,6569.0,0.12833336589368394
5,SlowrateDoS,1.0,2,5965.0,0.11653349483267236
5,SlowrateDoS,1.0,3,514.0,0.010041612128079394
5,SlowrateDoS,1.0,4,6824.0,0.1333150995369918
5,SlowrateDoS,1.0,5,12114.0,0.23666165237267275
5,SlowrateDoS,1.0,6,7156.0,0.139801121378475
5,SlowrateDoS,1.0,7,3092.0,0.06040596245140368
5,SlowrateDoS,1.0,8,2594.0,0.05067692968917889
5,SlowrateDoS,1.0,9,4717.0,0.09215230429601266
6,TCPConnectScan,0.0,0,2283.0,0.1
6,TCPConnectScan,0.0,1,737.0,0.1
6,TCPConnectScan,0.0,2,775.0,0.1
6,TCPConnectScan,0.0,3,1149.0,0.1
6,TCPConnectScan,0.0,4,809.0,0.1
6,TCPConnectScan,0.0,5,2861.0,0.1
6,TCPConnectScan,0.0,6,1882.0,0.1
6,TCPConnectScan,0.0,7,1065.0,0.1
6,TCPConnectScan,0.0,8,326.0,0.1
6,TCPConnectScan,0.0,9,2150.0,0.1
6,TCPConnectScan,0.25,0,2283.0,0.1167124733390369
6,TCPConnectScan,0.25,1,737.0,0.08797467410464607
6,TCPConnectScan,0.25,2,775.0,0.0890873868816746
6,TCPConnectScan,0.25,3,1149.0,0.09830391222654127
6,TCPConnectScan,0.25,4,809.0,0.09004879904604622
6,TCPConnectScan,0.25,5,2861.0,0.12348672112193146
6,TCPConnectScan,0.25,6,1882.0,0.11121047597429705
6,TCPConnectScan,0.25,7,1065.0,0.09645576652522049
6,TCPConnectScan,0.25,8,326.0,0.07174558725575302
6,TCPConnectScan,0.25,9,2150.0,0.11497420352485287
6,TCPConnectScan,0.5,0,2283.0,0.13308089245013302
6,TCPConnectScan,0.5,1,737.0,0.07561300408315977
6,TCPConnectScan,0.5,2,775.0,0.07753782242935
6,TCPConnectScan,0.5,3,1149.0,0.09441103598176359
6,TCPConnectScan,0.5,4,809.0,0.079220396126023
6,TCPConnectScan,0.5,5,2861.0,0.14897784155725924
6,TCPConnectScan,0.5,6,1882.0,0.12082938316611115
6,TCPConnectScan,0.5,7,1065.0,0.09089448906993822
6,TCPConnectScan,0.5,8,326.0,0.05028883200216262
6,TCPConnectScan,0.5,9,2150.0,0.12914630313409942
6,TCPConnectScan,0.75,0,2283.0,0.14854164207831894
6,TCPConnectScan,0.75,1,737.0,0.06361644596113139
6,TCPConnectScan,0.75,2,775.0,0.06606098787680484
6,TCPConnectScan,0.75,3,1149.0,0.08875826585899738
6,TCPConnectScan,0.75,4,809.0,0.06822290028996864
6,TCPConnectScan,0.75,5,2861.0,0.17593699919901915
6,TCPConnectScan,0.75,6,1882.0,0.128508987327376
6,TCPConnectScan,0.75,7,1065.0,0.08384573821487605
6,TCPConnectScan,0.75,8,326.0,0.03450499644680993
6,TCPConnectScan,0.75,9,2150.0,0.1420030367466977
6,TCPConnectScan,1.0,0,2283.0,0.16264159008335113
6,TCPConnectScan,1.0,1,737.0,0.052504096316876823
6,TCPConnectScan,1.0,2,775.0,0.055211227470257175
6,TCPConnectScan,1.0,3,1149.0,0.08185509724300064
6,TCPConnectScan,1.0,4,809.0,0.057633397449597494
6,TCPConnectScan,1.0,5,2861.0,0.2038184797321365
6,TCPConnectScan,1.0,6,1882.0,0.13407423238583743
6,TCPConnectScan,1.0,7,1065.0,0.07587091258815987
6,TCPConnectScan,1.0,8,326.0,0.02322433568426302
6,TCPConnectScan,1.0,9,2150.0,0.15316663104651992
7,UDPFlood,0.0,0,2744.0,0.1
7,UDPFlood,0.0,1,13401.0,0.1
7,UDPFlood,0.0,2,23126.0,0.1
7,UDPFlood,0.0,3,114825.0,0.1
7,UDPFlood,0.0,4,1533.0,0.1
7,UDPFlood,0.0,5,48726.0,0.1
7,UDPFlood,0.0,6,22538.0,0.1
7,UDPFlood,0.0,7,64629.0,0.1
7,UDPFlood,0.0,8,27585.0,0.1
7,UDPFlood,0.0,9,1031.0,0.1
7,UDPFlood,0.25,0,2744.0,0.062071002045654945
7,UDPFlood,0.25,1,13401.0,0.09227350796892415
7,UDPFlood,0.25,2,23126.0,0.10575912769009173
7,UDPFlood,0.25,3,114825.0,0.15787081218616805
7,UDPFlood,0.25,4,1533.0,0.05366341028743975
7,UDPFlood,0.25,5,48726.0,0.12741862668393017
7,UDPFlood,0.25,6,22538.0,0.1050803651740583
7,UDPFlood,0.25,7,64629.0,0.13674126358730812
7,UDPFlood,0.25,8,27585.0,0.11052511534372421
7,UDPFlood,0.25,9,1031.0,0.04859676903270051
7,UDPFlood,0.5,0,2744.0,0.034428311924818204
7,UDPFlood,0.5,1,13401.0,0.07608381469385114
7,UDPFlood,0.5,2,23126.0,0.09994796043398123
7,UDPFlood,0.5,3,114825.0,0.2227111203265142
7,UDPFlood,0.5,4,1533.0,0.025733256740854863
7,UDPFlood,0.5,5,48726.0,0.14507883383295553
7,UDPFlood,0.5,6,22538.0,0.09866914452668855
7,UDPFlood,0.5,7,64629.0,0.16708497331462946
7,UDPFlood,0.5,8,27585.0,0.10915915614665872
7,UDPFlood,0.5,9,1031.0,0.021103428059048173
7,UDPFlood,0.75,0,2744.0,0.017652375769757894
7,UDPFlood,0.75,1,13401.0,0.05799198693568284
7,UDPFlood,0.75,2,23126.0,0.08731532492856245
7,UDPFlood,0.75,3,114825.0,0.29043063479379605
7,UDPFlood,0.75,4,1533.0,0.011407006779336785
7,UDPFlood,0.75,5,48726.0,0.15269881056534784
7,UDPFlood,0.75,6,22538.0,0.08564492126142605
7,UDPFlood,0.75,7,64629.0,0.1887277058196725
7,UDPFlood,0.75,8,27585.0,0.0996597571918708
7,UDPFlood,0.75,9,1031.0,0.008471475954546786
7,UDPFlood,1.0,0,2744.0,0.008571303625311584
7,UDPFlood,1.0,1,13401.0,0.041860072843586206
7,UDPFlood,1.0,2,23126.0,0.07223759753606257
7,UDPFlood,1.0,3,114825.0,0.3586734470759485
7,UDPFlood,1.0,4,1533.0,0.004788559933528665
7,UDPFlood,1.0,5,48726.0,0.15220311240777415
7,UDPFlood,1.0,6,22538.0,0.07040088961635295
7,UDPFlood,1.0,7,64629.0,0.2018785648689003
7,UDPFlood,1.0,8,27585.0,0.0861659659271939
7,UDPFlood,1.0,9,1031.0,0.0032204861653411967
8,UDPScan,0.0,0,1410.0,0.1
8,UDPScan,0.0,1,2727.0,0.1
8,UDPScan,0.0,2,451.0,0.1
8,UDPScan,0.0,3,2421.0,0.1
8,UDPScan,0.0,4,1882.0,0.1
8,UDPScan,0.0,5,1858.0,0.1
8,UDPScan,0.0,6,40.0,0.1
8,UDPScan,0.0,7,5.0,0.1
8,UDPScan,0.0,8,152.0,0.1
8,UDPScan,0.0,9,188.0,0.1
8,UDPScan,0.25,0,1410.0,0.1241619590859255
8,UDPScan,0.25,1,2727.0,0.14642157119469484
8,UDPScan,0.25,2,451.0,0.09337441926630814
8,UDPScan,0.25,3,2421.0,0.14212892644945652
8,UDPScan,0.25,4,1882.0,0.13345617799370266
8,UDPScan,0.25,5,1858.0,0.1330286567144615
8,UDPScan,0.25,6,40.0,0.050956404463261364
8,UDPScan,0.25,7,5.0,0.030298859371333413
8,UDPScan,0.25,8,152.0,0.07114504776688942
8,UDPScan,0.25,9,188.0,0.07502797769396659
8,UDPScan,0.5,0,1410.0,0.1334880305281364
8,UDPScan,0.5,1,2727.0,0.18564161511570723
8,UDPScan,0.5,2,451.0,0.07549549555263549
8,UDPScan,0.5,3,2421.0,0.17491625239552414
8,UDPScan,0.5,4,1882.0,0.15422066759471326
8,UDPScan,0.5,5,1858.0,0.15323417132461511
8,UDPScan,0.5,6,40.0,0.022483440269731245
8,UDPScan,0.5,7,5.0,0.007949096539564831
8,UDPScan,0.5,8,152.0,0.04382829369457331
8,UDPScan,0.5,9,188.0,0.04874293698479904
8,UDPScan,0.75,0,1410.0,0.13281186109814913
8,UDPScan,0.75,1,2727.0,0.21781429635114546
8,UDPScan,0.75,2,451.0,0.05648783558829187
8,UDPScan,0.75,3,2421.0,0.19921343322124688
8,UDPScan,0.75,4,1882.0,0.16492528466458095
8,UDPScan,0.75,5,1858.0,0.16334536296869692
8,UDPScan,0.75,6,40.0,0.009180525083255623
8,UDPScan,0.75,7,5.0,0.0019299676581641158
8,UDPScan,0.75,8,152.0,0.024986488072494886
8,UDPScan,0.75,9,188.0,0.029304945293974125
8,UDPScan,1.0,0,1410.0,0.1266391234057841
8,UDPScan,1.0,1,2727.0,0.24492545356565476
8,UDPScan,1.0,2,451.0,0.040506556493623135
8,UDPScan,1.0,3,2421.0,0.21744206933716545
8,UDPScan,1.0,4,1882.0,0.16903179450332315
8,UDPScan,1.0,5,1858.0,0.16687623495599066
8,UDPScan,1.0,6,40.0,0.0035925992455541583
8,UDPScan,1.0,7,5.0,0.0004490749056942698
8,UDPScan,1.0,8,152.0,0.013651877133105802
8,UDPScan,1.0,9,188.0,0.016885216454104544
1 class_id class_name beta client_id N_ij weight
2 0 Benign 0.0 0 15512.0 0.1
3 0 Benign 0.0 1 5328.0 0.1
4 0 Benign 0.0 2 8864.0 0.1
5 0 Benign 0.0 3 80420.0 0.1
6 0 Benign 0.0 4 3896.0 0.1
7 0 Benign 0.0 5 20027.0 0.1
8 0 Benign 0.0 6 13275.0 0.1
9 0 Benign 0.0 7 31700.0 0.1
10 0 Benign 0.0 8 83388.0 0.1
11 0 Benign 0.0 9 72005.0 0.1
12 0 Benign 0.25 0 15512.0 0.0903687784692775
13 0 Benign 0.25 1 5328.0 0.06918190504586544
14 0 Benign 0.25 2 8864.0 0.07857038834553617
15 0 Benign 0.25 3 80420.0 0.13636172297965832
16 0 Benign 0.25 4 3896.0 0.06397439683009679
17 0 Benign 0.25 5 20027.0 0.09632864188710004
18 0 Benign 0.25 6 13275.0 0.0869180741989955
19 0 Benign 0.25 7 31700.0 0.10804788706094473
20 0 Benign 0.25 8 83388.0 0.13760282569654525
21 0 Benign 0.25 9 72005.0 0.13264537948598024
22 0 Benign 0.5 0 15512.0 0.0764291241476481
23 0 Benign 0.5 1 5328.0 0.04479268466238382
24 0 Benign 0.5 2 8864.0 0.05777498726204524
25 0 Benign 0.5 3 80420.0 0.17402314740281052
26 0 Benign 0.5 4 3896.0 0.03830314714018961
27 0 Benign 0.5 5 20027.0 0.08684262323584736
28 0 Benign 0.5 6 13275.0 0.07070371759877431
29 0 Benign 0.5 7 31700.0 0.10925834452215384
30 0 Benign 0.5 8 83388.0 0.1772053230920866
31 0 Benign 0.5 9 72005.0 0.16466690093606054
32 0 Benign 0.75 0 15512.0 0.06097765817356159
33 0 Benign 0.75 1 5328.0 0.02735854876431004
34 0 Benign 0.75 2 8864.0 0.040076723189388506
35 0 Benign 0.75 3 80420.0 0.20950430231910533
36 0 Benign 0.75 4 3896.0 0.021633864513301886
37 0 Benign 0.75 5 20027.0 0.07385532570339268
38 0 Benign 0.75 6 13275.0 0.054255752546630044
39 0 Benign 0.75 7 31700.0 0.10422318504941018
40 0 Benign 0.75 8 83388.0 0.21527696529465443
41 0 Benign 0.75 9 72005.0 0.1928376744462453
42 0 Benign 1.0 0 15512.0 0.04638547912025477
43 0 Benign 1.0 1 5328.0 0.01593229968751402
44 0 Benign 1.0 2 8864.0 0.026505988068717012
45 0 Benign 1.0 3 80420.0 0.24047964355665866
46 0 Benign 1.0 4 3896.0 0.011650195116845835
47 0 Benign 1.0 5 20027.0 0.05988666776310871
48 0 Benign 1.0 6 13275.0 0.03969618587682969
49 0 Benign 1.0 7 31700.0 0.09479239866632777
50 0 Benign 1.0 8 83388.0 0.24935484353273626
51 0 Benign 1.0 9 72005.0 0.2153162986110073
52 1 HTTPFlood 0.0 0 9688.0 0.1
53 1 HTTPFlood 0.0 1 15997.0 0.1
54 1 HTTPFlood 0.0 2 4494.0 0.1
55 1 HTTPFlood 0.0 3 621.0 0.1
56 1 HTTPFlood 0.0 4 2280.0 0.1
57 1 HTTPFlood 0.0 5 25248.0 0.1
58 1 HTTPFlood 0.0 6 7039.0 0.1
59 1 HTTPFlood 0.0 7 13892.0 0.1
60 1 HTTPFlood 0.0 8 12304.0 0.1
61 1 HTTPFlood 0.0 9 7006.0 0.1
62 1 HTTPFlood 0.25 0 9688.0 0.10604019751174108
63 1 HTTPFlood 0.25 1 15997.0 0.12020475058245225
64 1 HTTPFlood 0.25 2 4494.0 0.08751253462076565
65 1 HTTPFlood 0.25 3 621.0 0.05335620045517997
66 1 HTTPFlood 0.25 4 2280.0 0.07385768775944955
67 1 HTTPFlood 0.25 5 25248.0 0.13473137463967969
68 1 HTTPFlood 0.25 6 7039.0 0.09790158810672434
69 1 HTTPFlood 0.25 7 13892.0 0.11603878935392674
70 1 HTTPFlood 0.25 8 12304.0 0.1125702358677111
71 1 HTTPFlood 0.25 9 7006.0 0.09778664110236958
72 1 HTTPFlood 0.5 0 9688.0 0.10699843512082603
73 1 HTTPFlood 0.5 1 15997.0 0.13749269776328543
74 1 HTTPFlood 0.5 2 4494.0 0.07287471931529746
75 1 HTTPFlood 0.5 3 621.0 0.02708982260359105
76 1 HTTPFlood 0.5 4 2280.0 0.051907221738743604
77 1 HTTPFlood 0.5 5 25248.0 0.17273241768713649
78 1 HTTPFlood 0.5 6 7039.0 0.09120441112447619
79 1 HTTPFlood 0.5 7 13892.0 0.12812761681825574
80 1 HTTPFlood 0.5 8 12304.0 0.12058228857114697
81 1 HTTPFlood 0.5 9 7006.0 0.09099036925724102
82 1 HTTPFlood 0.75 0 9688.0 0.10402527636194604
83 1 HTTPFlood 0.75 1 15997.0 0.151527755131755
84 1 HTTPFlood 0.75 2 4494.0 0.0584706715318024
85 1 HTTPFlood 0.75 3 621.0 0.013252016891553522
86 1 HTTPFlood 0.75 4 2280.0 0.035149116720886754
87 1 HTTPFlood 0.75 5 25248.0 0.2133700784019601
88 1 HTTPFlood 0.75 6 7039.0 0.08186466793521056
89 1 HTTPFlood 0.75 7 13892.0 0.13631286996144415
90 1 HTTPFlood 0.75 8 12304.0 0.1244508945030246
91 1 HTTPFlood 0.75 9 7006.0 0.08157665256041689
92 1 HTTPFlood 1.0 0 9688.0 0.09828647952195924
93 1 HTTPFlood 1.0 1 15997.0 0.1622924043056133
94 1 HTTPFlood 1.0 2 4494.0 0.04559242763952155
95 1 HTTPFlood 1.0 3 621.0 0.006300155221215595
96 1 HTTPFlood 1.0 4 2280.0 0.023131004676926824
97 1 HTTPFlood 1.0 5 25248.0 0.2561454412644949
98 1 HTTPFlood 1.0 6 7039.0 0.07141190435126663
99 1 HTTPFlood 1.0 7 13892.0 0.14093680568941552
100 1 HTTPFlood 1.0 8 12304.0 0.1248262638354858
101 1 HTTPFlood 1.0 9 7006.0 0.07107711349410058
102 2 ICMPFlood 0.0 0 27.0 0.1111111111111111
103 2 ICMPFlood 0.0 1 25.0 0.1111111111111111
104 2 ICMPFlood 0.0 2 30.0 0.1111111111111111
105 2 ICMPFlood 0.0 4 15.0 0.1111111111111111
106 2 ICMPFlood 0.0 5 37.0 0.1111111111111111
107 2 ICMPFlood 0.0 6 15.0 0.1111111111111111
108 2 ICMPFlood 0.0 7 240.0 0.1111111111111111
109 2 ICMPFlood 0.0 8 134.0 0.1111111111111111
110 2 ICMPFlood 0.0 9 285.0 0.1111111111111111
111 2 ICMPFlood 0.25 0 27.0 0.09226794013731165
112 2 ICMPFlood 0.25 1 25.0 0.09050965017258257
113 2 ICMPFlood 0.25 2 30.0 0.09473058032471167
114 2 ICMPFlood 0.25 4 15.0 0.07965860540995409
115 2 ICMPFlood 0.25 5 37.0 0.09982982623186401
116 2 ICMPFlood 0.25 6 15.0 0.07965860540995409
117 2 ICMPFlood 0.25 7 240.0 0.15931721081990818
118 2 ICMPFlood 0.25 8 134.0 0.13771653391529493
119 2 ICMPFlood 0.25 9 285.0 0.1663110475784188
120 2 ICMPFlood 0.5 0 27.0 0.07074232313946355
121 2 ICMPFlood 0.5 1 25.0 0.06807183217944796
122 2 ICMPFlood 0.5 2 30.0 0.0745689560307794
123 2 ICMPFlood 0.5 4 15.0 0.05272821447536561
124 2 ICMPFlood 0.5 5 37.0 0.08281295802997891
125 2 ICMPFlood 0.5 6 15.0 0.05272821447536561
126 2 ICMPFlood 0.5 7 240.0 0.21091285790146244
127 2 ICMPFlood 0.5 8 134.0 0.15759768539667937
128 2 ICMPFlood 0.5 9 285.0 0.22983695837145723
129 2 ICMPFlood 0.75 0 27.0 0.05022878207674331
130 2 ICMPFlood 0.75 1 25.0 0.04741162395176168
131 2 ICMPFlood 0.75 2 30.0 0.054358913245697534
132 2 ICMPFlood 0.75 4 15.0 0.032322003197799584
133 2 ICMPFlood 0.75 5 37.0 0.06361816199370575
134 2 ICMPFlood 0.75 6 15.0 0.032322003197799584
135 2 ICMPFlood 0.75 7 240.0 0.2585760255823967
136 2 ICMPFlood 0.75 8 134.0 0.16701613274236715
137 2 ICMPFlood 0.75 9 285.0 0.29414635401172873
138 2 ICMPFlood 1.0 0 27.0 0.03341584158415842
139 2 ICMPFlood 1.0 1 25.0 0.03094059405940594
140 2 ICMPFlood 1.0 2 30.0 0.03712871287128713
141 2 ICMPFlood 1.0 4 15.0 0.018564356435643563
142 2 ICMPFlood 1.0 5 37.0 0.04579207920792079
143 2 ICMPFlood 1.0 6 15.0 0.018564356435643563
144 2 ICMPFlood 1.0 7 240.0 0.297029702970297
145 2 ICMPFlood 1.0 8 134.0 0.16584158415841585
146 2 ICMPFlood 1.0 9 285.0 0.3527227722772277
147 3 SYNFlood 0.0 0 576.0 0.1
148 3 SYNFlood 0.0 1 817.0 0.1
149 3 SYNFlood 0.0 2 1420.0 0.1
150 3 SYNFlood 0.0 3 229.0 0.1
151 3 SYNFlood 0.0 4 57.0 0.1
152 3 SYNFlood 0.0 5 830.0 0.1
153 3 SYNFlood 0.0 6 199.0 0.1
154 3 SYNFlood 0.0 7 72.0 0.1
155 3 SYNFlood 0.0 8 247.0 0.1
156 3 SYNFlood 0.0 9 2358.0 0.1
157 3 SYNFlood 0.25 0 576.0 0.10652073286447294
158 3 SYNFlood 0.25 1 817.0 0.11624761167527639
159 3 SYNFlood 0.25 2 1420.0 0.13347520943247537
160 3 SYNFlood 0.25 3 229.0 0.08458383956722204
161 3 SYNFlood 0.25 4 57.0 0.05974440479158221
162 3 SYNFlood 0.25 5 830.0 0.11670730701621312
163 3 SYNFlood 0.25 6 199.0 0.08166609582822648
164 3 SYNFlood 0.25 7 72.0 0.0633376067088677
165 3 SYNFlood 0.25 8 247.0 0.08619910630888938
166 3 SYNFlood 0.25 9 2358.0 0.15151808580677434
167 3 SYNFlood 0.5 0 576.0 0.10497498620072535
168 3 SYNFlood 0.5 1 817.0 0.1250217612561194
169 3 SYNFlood 0.5 2 1420.0 0.1648233575382058
170 3 SYNFlood 0.5 3 229.0 0.06618999155519105
171 3 SYNFlood 0.5 4 57.0 0.03302265690251283
172 3 SYNFlood 0.5 5 830.0 0.12601250085494478
173 3 SYNFlood 0.5 6 199.0 0.06170226728344592
174 3 SYNFlood 0.5 7 72.0 0.03711426229874857
175 3 SYNFlood 0.5 8 247.0 0.06874214208599656
176 3 SYNFlood 0.5 9 2358.0 0.2123960740241098
177 3 SYNFlood 0.75 0 576.0 0.09682192641797129
178 3 SYNFlood 0.75 1 817.0 0.12584135883871006
179 3 SYNFlood 0.75 2 1420.0 0.19049040934225442
180 3 SYNFlood 0.75 3 229.0 0.048476746936192874
181 3 SYNFlood 0.75 4 57.0 0.01708295506500169
182 3 SYNFlood 0.75 5 830.0 0.12734017021510496
183 3 SYNFlood 0.75 6 199.0 0.04363115041177043
184 3 SYNFlood 0.75 7 72.0 0.020354302710707744
185 3 SYNFlood 0.75 8 247.0 0.05130734853241375
186 3 SYNFlood 0.75 9 2358.0 0.27865363152987277
187 3 SYNFlood 1.0 0 576.0 0.08464364437913299
188 3 SYNFlood 1.0 1 817.0 0.12005878030859662
189 3 SYNFlood 1.0 2 1420.0 0.20867009551800147
190 3 SYNFlood 1.0 3 229.0 0.033651726671565026
191 3 SYNFlood 1.0 4 57.0 0.008376193975018369
192 3 SYNFlood 1.0 5 830.0 0.12196914033798678
193 3 SYNFlood 1.0 6 199.0 0.029243203526818515
194 3 SYNFlood 1.0 7 72.0 0.010580455547391624
195 3 SYNFlood 1.0 8 247.0 0.03629684055841293
196 3 SYNFlood 1.0 9 2358.0 0.3465099191770757
197 4 SYNScan 0.0 0 2805.0 0.1111111111111111
198 4 SYNScan 0.0 1 921.0 0.1111111111111111
199 4 SYNScan 0.0 2 133.0 0.1111111111111111
200 4 SYNScan 0.0 3 2650.0 0.1111111111111111
201 4 SYNScan 0.0 4 565.0 0.1111111111111111
202 4 SYNScan 0.0 5 3883.0 0.1111111111111111
203 4 SYNScan 0.0 7 1949.0 0.1111111111111111
204 4 SYNScan 0.0 8 400.0 0.1111111111111111
205 4 SYNScan 0.0 9 724.0 0.1111111111111111
206 4 SYNScan 0.25 0 2805.0 0.13880379163737666
207 4 SYNScan 0.25 1 921.0 0.10507103755516096
208 4 SYNScan 0.25 2 133.0 0.06477106284187761
209 4 SYNScan 0.25 3 2650.0 0.13684520414033421
210 4 SYNScan 0.25 4 565.0 0.09298871049606623
211 4 SYNScan 0.25 5 3883.0 0.15056012301937544
212 4 SYNScan 0.25 7 1949.0 0.12672755999771373
213 4 SYNScan 0.25 8 400.0 0.08529687319490242
214 4 SYNScan 0.25 9 724.0 0.09893563711719278
215 4 SYNScan 0.5 0 2805.0 0.16373707402819537
216 4 SYNScan 0.5 1 921.0 0.09382323594665237
217 4 SYNScan 0.5 2 133.0 0.0356538483556625
218 4 SYNScan 0.5 3 2650.0 0.15914885904992443
219 4 SYNScan 0.5 4 565.0 0.07348603519073868
220 4 SYNScan 0.5 5 3883.0 0.19264790378338853
221 4 SYNScan 0.5 7 1949.0 0.1364854990536577
222 4 SYNScan 0.5 8 400.0 0.06183161472219221
223 4 SYNScan 0.5 9 724.0 0.0831859298695882
224 4 SYNScan 0.75 0 2805.0 0.18430666277718996
225 4 SYNScan 0.75 1 921.0 0.07994404316890448
226 4 SYNScan 0.75 2 133.0 0.018727513421696464
227 4 SYNScan 0.75 3 2650.0 0.17661427046095715
228 4 SYNScan 0.75 4 565.0 0.055415049069415453
229 4 SYNScan 0.75 5 3883.0 0.2352160373368503
230 4 SYNScan 0.75 7 1949.0 0.14026530668026346
231 4 SYNScan 0.75 8 400.0 0.04276971731045208
232 4 SYNScan 0.75 9 724.0 0.06674139977427063
233 4 SYNScan 1.0 0 2805.0 0.1999287241625089
234 4 SYNScan 1.0 1 921.0 0.06564504632929437
235 4 SYNScan 1.0 2 133.0 0.00947968638631504
236 4 SYNScan 1.0 3 2650.0 0.18888096935138987
237 4 SYNScan 1.0 4 565.0 0.040270848182466144
238 4 SYNScan 1.0 5 3883.0 0.2767640769779045
239 4 SYNScan 1.0 7 1949.0 0.1389166072701354
240 4 SYNScan 1.0 8 400.0 0.02851033499643621
241 4 SYNScan 1.0 9 724.0 0.051603706343549535
242 5 SlowrateDoS 0.0 0 1642.0 0.1
243 5 SlowrateDoS 0.0 1 6569.0 0.1
244 5 SlowrateDoS 0.0 2 5965.0 0.1
245 5 SlowrateDoS 0.0 3 514.0 0.1
246 5 SlowrateDoS 0.0 4 6824.0 0.1
247 5 SlowrateDoS 0.0 5 12114.0 0.1
248 5 SlowrateDoS 0.0 6 7156.0 0.1
249 5 SlowrateDoS 0.0 7 3092.0 0.1
250 5 SlowrateDoS 0.0 8 2594.0 0.1
251 5 SlowrateDoS 0.0 9 4717.0 0.1
252 5 SlowrateDoS 0.25 0 1642.0 0.07900144513271053
253 5 SlowrateDoS 0.25 1 6569.0 0.11172916753411194
254 5 SlowrateDoS 0.25 2 5965.0 0.10906724910475461
255 5 SlowrateDoS 0.25 3 514.0 0.059092522229049295
256 5 SlowrateDoS 0.25 4 6824.0 0.11279802667653824
257 5 SlowrateDoS 0.25 5 12114.0 0.13020079613982327
258 5 SlowrateDoS 0.25 6 7156.0 0.11414564078572524
259 5 SlowrateDoS 0.25 7 3092.0 0.09254471425238056
260 5 SlowrateDoS 0.25 8 2594.0 0.08856950967901898
261 5 SlowrateDoS 0.25 9 4717.0 0.10285092846588725
262 5 SlowrateDoS 0.5 0 1642.0 0.06012483903817154
263 5 SlowrateDoS 0.5 1 6569.0 0.12025883193606603
264 5 SlowrateDoS 0.5 2 5965.0 0.11459682210374751
265 5 SlowrateDoS 0.5 3 514.0 0.03363945180430802
266 5 SlowrateDoS 0.5 4 6824.0 0.1225707544855154
267 5 SlowrateDoS 0.5 5 12114.0 0.16330938186925004
268 5 SlowrateDoS 0.5 6 7156.0 0.12551699008981967
269 5 SlowrateDoS 0.5 7 3092.0 0.08250629645953579
270 5 SlowrateDoS 0.5 8 2594.0 0.07557050705387465
271 5 SlowrateDoS 0.5 9 4717.0 0.10190612515971129
272 5 SlowrateDoS 0.75 0 1642.0 0.04443405697915706
273 5 SlowrateDoS 0.75 1 6569.0 0.12569284297778993
274 5 SlowrateDoS 0.75 2 5965.0 0.11692138172583606
275 5 SlowrateDoS 0.75 3 514.0 0.01859552491992835
276 5 SlowrateDoS 0.75 4 6824.0 0.12933479130337344
277 5 SlowrateDoS 0.75 5 12114.0 0.1989077844564697
278 5 SlowrateDoS 0.75 6 7156.0 0.13402593693654288
279 5 SlowrateDoS 0.75 7 3092.0 0.07142754392816335
280 5 SlowrateDoS 0.75 8 2594.0 0.06261286578021116
281 5 SlowrateDoS 0.75 9 4717.0 0.09804727099252813
282 5 SlowrateDoS 1.0 0 1642.0 0.03207845742082951
283 5 SlowrateDoS 1.0 1 6569.0 0.12833336589368394
284 5 SlowrateDoS 1.0 2 5965.0 0.11653349483267236
285 5 SlowrateDoS 1.0 3 514.0 0.010041612128079394
286 5 SlowrateDoS 1.0 4 6824.0 0.1333150995369918
287 5 SlowrateDoS 1.0 5 12114.0 0.23666165237267275
288 5 SlowrateDoS 1.0 6 7156.0 0.139801121378475
289 5 SlowrateDoS 1.0 7 3092.0 0.06040596245140368
290 5 SlowrateDoS 1.0 8 2594.0 0.05067692968917889
291 5 SlowrateDoS 1.0 9 4717.0 0.09215230429601266
292 6 TCPConnectScan 0.0 0 2283.0 0.1
293 6 TCPConnectScan 0.0 1 737.0 0.1
294 6 TCPConnectScan 0.0 2 775.0 0.1
295 6 TCPConnectScan 0.0 3 1149.0 0.1
296 6 TCPConnectScan 0.0 4 809.0 0.1
297 6 TCPConnectScan 0.0 5 2861.0 0.1
298 6 TCPConnectScan 0.0 6 1882.0 0.1
299 6 TCPConnectScan 0.0 7 1065.0 0.1
300 6 TCPConnectScan 0.0 8 326.0 0.1
301 6 TCPConnectScan 0.0 9 2150.0 0.1
302 6 TCPConnectScan 0.25 0 2283.0 0.1167124733390369
303 6 TCPConnectScan 0.25 1 737.0 0.08797467410464607
304 6 TCPConnectScan 0.25 2 775.0 0.0890873868816746
305 6 TCPConnectScan 0.25 3 1149.0 0.09830391222654127
306 6 TCPConnectScan 0.25 4 809.0 0.09004879904604622
307 6 TCPConnectScan 0.25 5 2861.0 0.12348672112193146
308 6 TCPConnectScan 0.25 6 1882.0 0.11121047597429705
309 6 TCPConnectScan 0.25 7 1065.0 0.09645576652522049
310 6 TCPConnectScan 0.25 8 326.0 0.07174558725575302
311 6 TCPConnectScan 0.25 9 2150.0 0.11497420352485287
312 6 TCPConnectScan 0.5 0 2283.0 0.13308089245013302
313 6 TCPConnectScan 0.5 1 737.0 0.07561300408315977
314 6 TCPConnectScan 0.5 2 775.0 0.07753782242935
315 6 TCPConnectScan 0.5 3 1149.0 0.09441103598176359
316 6 TCPConnectScan 0.5 4 809.0 0.079220396126023
317 6 TCPConnectScan 0.5 5 2861.0 0.14897784155725924
318 6 TCPConnectScan 0.5 6 1882.0 0.12082938316611115
319 6 TCPConnectScan 0.5 7 1065.0 0.09089448906993822
320 6 TCPConnectScan 0.5 8 326.0 0.05028883200216262
321 6 TCPConnectScan 0.5 9 2150.0 0.12914630313409942
322 6 TCPConnectScan 0.75 0 2283.0 0.14854164207831894
323 6 TCPConnectScan 0.75 1 737.0 0.06361644596113139
324 6 TCPConnectScan 0.75 2 775.0 0.06606098787680484
325 6 TCPConnectScan 0.75 3 1149.0 0.08875826585899738
326 6 TCPConnectScan 0.75 4 809.0 0.06822290028996864
327 6 TCPConnectScan 0.75 5 2861.0 0.17593699919901915
328 6 TCPConnectScan 0.75 6 1882.0 0.128508987327376
329 6 TCPConnectScan 0.75 7 1065.0 0.08384573821487605
330 6 TCPConnectScan 0.75 8 326.0 0.03450499644680993
331 6 TCPConnectScan 0.75 9 2150.0 0.1420030367466977
332 6 TCPConnectScan 1.0 0 2283.0 0.16264159008335113
333 6 TCPConnectScan 1.0 1 737.0 0.052504096316876823
334 6 TCPConnectScan 1.0 2 775.0 0.055211227470257175
335 6 TCPConnectScan 1.0 3 1149.0 0.08185509724300064
336 6 TCPConnectScan 1.0 4 809.0 0.057633397449597494
337 6 TCPConnectScan 1.0 5 2861.0 0.2038184797321365
338 6 TCPConnectScan 1.0 6 1882.0 0.13407423238583743
339 6 TCPConnectScan 1.0 7 1065.0 0.07587091258815987
340 6 TCPConnectScan 1.0 8 326.0 0.02322433568426302
341 6 TCPConnectScan 1.0 9 2150.0 0.15316663104651992
342 7 UDPFlood 0.0 0 2744.0 0.1
343 7 UDPFlood 0.0 1 13401.0 0.1
344 7 UDPFlood 0.0 2 23126.0 0.1
345 7 UDPFlood 0.0 3 114825.0 0.1
346 7 UDPFlood 0.0 4 1533.0 0.1
347 7 UDPFlood 0.0 5 48726.0 0.1
348 7 UDPFlood 0.0 6 22538.0 0.1
349 7 UDPFlood 0.0 7 64629.0 0.1
350 7 UDPFlood 0.0 8 27585.0 0.1
351 7 UDPFlood 0.0 9 1031.0 0.1
352 7 UDPFlood 0.25 0 2744.0 0.062071002045654945
353 7 UDPFlood 0.25 1 13401.0 0.09227350796892415
354 7 UDPFlood 0.25 2 23126.0 0.10575912769009173
355 7 UDPFlood 0.25 3 114825.0 0.15787081218616805
356 7 UDPFlood 0.25 4 1533.0 0.05366341028743975
357 7 UDPFlood 0.25 5 48726.0 0.12741862668393017
358 7 UDPFlood 0.25 6 22538.0 0.1050803651740583
359 7 UDPFlood 0.25 7 64629.0 0.13674126358730812
360 7 UDPFlood 0.25 8 27585.0 0.11052511534372421
361 7 UDPFlood 0.25 9 1031.0 0.04859676903270051
362 7 UDPFlood 0.5 0 2744.0 0.034428311924818204
363 7 UDPFlood 0.5 1 13401.0 0.07608381469385114
364 7 UDPFlood 0.5 2 23126.0 0.09994796043398123
365 7 UDPFlood 0.5 3 114825.0 0.2227111203265142
366 7 UDPFlood 0.5 4 1533.0 0.025733256740854863
367 7 UDPFlood 0.5 5 48726.0 0.14507883383295553
368 7 UDPFlood 0.5 6 22538.0 0.09866914452668855
369 7 UDPFlood 0.5 7 64629.0 0.16708497331462946
370 7 UDPFlood 0.5 8 27585.0 0.10915915614665872
371 7 UDPFlood 0.5 9 1031.0 0.021103428059048173
372 7 UDPFlood 0.75 0 2744.0 0.017652375769757894
373 7 UDPFlood 0.75 1 13401.0 0.05799198693568284
374 7 UDPFlood 0.75 2 23126.0 0.08731532492856245
375 7 UDPFlood 0.75 3 114825.0 0.29043063479379605
376 7 UDPFlood 0.75 4 1533.0 0.011407006779336785
377 7 UDPFlood 0.75 5 48726.0 0.15269881056534784
378 7 UDPFlood 0.75 6 22538.0 0.08564492126142605
379 7 UDPFlood 0.75 7 64629.0 0.1887277058196725
380 7 UDPFlood 0.75 8 27585.0 0.0996597571918708
381 7 UDPFlood 0.75 9 1031.0 0.008471475954546786
382 7 UDPFlood 1.0 0 2744.0 0.008571303625311584
383 7 UDPFlood 1.0 1 13401.0 0.041860072843586206
384 7 UDPFlood 1.0 2 23126.0 0.07223759753606257
385 7 UDPFlood 1.0 3 114825.0 0.3586734470759485
386 7 UDPFlood 1.0 4 1533.0 0.004788559933528665
387 7 UDPFlood 1.0 5 48726.0 0.15220311240777415
388 7 UDPFlood 1.0 6 22538.0 0.07040088961635295
389 7 UDPFlood 1.0 7 64629.0 0.2018785648689003
390 7 UDPFlood 1.0 8 27585.0 0.0861659659271939
391 7 UDPFlood 1.0 9 1031.0 0.0032204861653411967
392 8 UDPScan 0.0 0 1410.0 0.1
393 8 UDPScan 0.0 1 2727.0 0.1
394 8 UDPScan 0.0 2 451.0 0.1
395 8 UDPScan 0.0 3 2421.0 0.1
396 8 UDPScan 0.0 4 1882.0 0.1
397 8 UDPScan 0.0 5 1858.0 0.1
398 8 UDPScan 0.0 6 40.0 0.1
399 8 UDPScan 0.0 7 5.0 0.1
400 8 UDPScan 0.0 8 152.0 0.1
401 8 UDPScan 0.0 9 188.0 0.1
402 8 UDPScan 0.25 0 1410.0 0.1241619590859255
403 8 UDPScan 0.25 1 2727.0 0.14642157119469484
404 8 UDPScan 0.25 2 451.0 0.09337441926630814
405 8 UDPScan 0.25 3 2421.0 0.14212892644945652
406 8 UDPScan 0.25 4 1882.0 0.13345617799370266
407 8 UDPScan 0.25 5 1858.0 0.1330286567144615
408 8 UDPScan 0.25 6 40.0 0.050956404463261364
409 8 UDPScan 0.25 7 5.0 0.030298859371333413
410 8 UDPScan 0.25 8 152.0 0.07114504776688942
411 8 UDPScan 0.25 9 188.0 0.07502797769396659
412 8 UDPScan 0.5 0 1410.0 0.1334880305281364
413 8 UDPScan 0.5 1 2727.0 0.18564161511570723
414 8 UDPScan 0.5 2 451.0 0.07549549555263549
415 8 UDPScan 0.5 3 2421.0 0.17491625239552414
416 8 UDPScan 0.5 4 1882.0 0.15422066759471326
417 8 UDPScan 0.5 5 1858.0 0.15323417132461511
418 8 UDPScan 0.5 6 40.0 0.022483440269731245
419 8 UDPScan 0.5 7 5.0 0.007949096539564831
420 8 UDPScan 0.5 8 152.0 0.04382829369457331
421 8 UDPScan 0.5 9 188.0 0.04874293698479904
422 8 UDPScan 0.75 0 1410.0 0.13281186109814913
423 8 UDPScan 0.75 1 2727.0 0.21781429635114546
424 8 UDPScan 0.75 2 451.0 0.05648783558829187
425 8 UDPScan 0.75 3 2421.0 0.19921343322124688
426 8 UDPScan 0.75 4 1882.0 0.16492528466458095
427 8 UDPScan 0.75 5 1858.0 0.16334536296869692
428 8 UDPScan 0.75 6 40.0 0.009180525083255623
429 8 UDPScan 0.75 7 5.0 0.0019299676581641158
430 8 UDPScan 0.75 8 152.0 0.024986488072494886
431 8 UDPScan 0.75 9 188.0 0.029304945293974125
432 8 UDPScan 1.0 0 1410.0 0.1266391234057841
433 8 UDPScan 1.0 1 2727.0 0.24492545356565476
434 8 UDPScan 1.0 2 451.0 0.040506556493623135
435 8 UDPScan 1.0 3 2421.0 0.21744206933716545
436 8 UDPScan 1.0 4 1882.0 0.16903179450332315
437 8 UDPScan 1.0 5 1858.0 0.16687623495599066
438 8 UDPScan 1.0 6 40.0 0.0035925992455541583
439 8 UDPScan 1.0 7 5.0 0.0004490749056942698
440 8 UDPScan 1.0 8 152.0 0.013651877133105802
441 8 UDPScan 1.0 9 188.0 0.016885216454104544
@@ -0,0 +1,46 @@
class_id,class_name,beta,n_contributors,support_min,support_max,support_mean,prototype_norm,reference_norm_beta0,displacement_from_beta0,relative_displacement
0,Benign,0.0,10,536,118638,33441.5,5.781474478497102,5.781474478497102,0.0,0.0
0,Benign,0.25,10,536,118638,33441.5,6.034523363155307,5.781474478497102,0.44934231344407405,0.0777210580303177
0,Benign,0.5,10,536,118638,33441.5,6.184377334793189,5.781474478497102,0.7423202921820351,0.12839636237138624
0,Benign,0.75,10,536,118638,33441.5,6.279241110118144,5.781474478497102,0.9589710040117058,0.16586962505471284
0,Benign,1.0,10,536,118638,33441.5,6.346908599237262,5.781474478497102,1.1374661214791688,0.19674325740080997
1,HTTPFlood,0.0,10,1484,25410,9856.9,8.040515112105078,8.040515112105078,0.0,0.0
1,HTTPFlood,0.25,10,1484,25410,9856.9,8.237924127928169,8.040515112105078,0.31613002745222124,0.03931713615913541
1,HTTPFlood,0.5,10,1484,25410,9856.9,8.43041250305211,8.040515112105078,0.6174652346598523,0.07679423843507886
1,HTTPFlood,0.75,10,1484,25410,9856.9,8.614808236554929,8.040515112105078,0.9049846159797786,0.11255306449425298
1,HTTPFlood,1.0,10,1484,25410,9856.9,8.789920650050949,8.040515112105078,1.1798981961668003,0.14674410528629583
2,ICMPFlood,0.0,10,1,270,80.8,3.6224561789945593,3.6224561789945593,0.0,0.0
2,ICMPFlood,0.25,10,1,270,80.8,3.5980394846920825,3.6224561789945593,0.23482708759290863,0.06482537703412239
2,ICMPFlood,0.5,10,1,270,80.8,3.627324539482129,3.6224561789945593,0.4783770963700612,0.13205876696149255
2,ICMPFlood,0.75,10,1,270,80.8,3.697214470610192,3.6224561789945593,0.7269008922059704,0.2006651996015939
2,ICMPFlood,1.0,10,1,270,80.8,3.7904360054890227,3.6224561789945593,0.9624949343114511,0.2657022988691057
3,SYNFlood,0.0,10,6,2670,680.5,3.465183220431711,3.465183220431711,0.0,0.0
3,SYNFlood,0.25,10,6,2670,680.5,3.569041282796479,3.465183220431711,0.7216450467734076,0.20825595671778108
3,SYNFlood,0.5,10,6,2670,680.5,3.807339651900049,3.465183220431711,1.282696779657381,0.3701670872969239
3,SYNFlood,0.75,10,6,2670,680.5,4.079395055744296,3.465183220431711,1.7316419781829142,0.4997259504122778
3,SYNFlood,1.0,10,6,2670,680.5,4.337933359236833,3.465183220431711,2.0937360483530942,0.6042208781364945
4,SYNScan,0.0,10,91,4022,1403.0,8.045784588585622,8.045784588585622,0.0,0.0
4,SYNScan,0.25,10,91,4022,1403.0,8.274957864156102,8.045784588585622,0.6143739282469588,0.07635972868557252
4,SYNScan,0.5,10,91,4022,1403.0,8.505120839291314,8.045784588585622,1.1241535798580533,0.13971957209156025
4,SYNScan,0.75,10,91,4022,1403.0,8.716663030105147,8.045784588585622,1.528513117591033,0.18997688799169454
4,SYNScan,1.0,10,91,4022,1403.0,8.902679438059348,8.045784588585622,1.842405141799617,0.22899011544671438
5,SlowrateDoS,0.0,10,99,18020,5118.7,6.196828962382864,6.196828962382864,0.0,0.0
5,SlowrateDoS,0.25,10,99,18020,5118.7,6.553678159229446,6.196828962382864,0.5399568475713932,0.08713437967210956
5,SlowrateDoS,0.5,10,99,18020,5118.7,6.812828089028118,6.196828962382864,0.8993913264035333,0.14513734877357187
5,SlowrateDoS,0.75,10,99,18020,5118.7,7.0100886548577055,6.196828962382864,1.1616596467574192,0.18746033718360475
5,SlowrateDoS,1.0,10,99,18020,5118.7,7.175262135131196,6.196828962382864,1.3810692070580681,0.22286708499487232
6,TCPConnectScan,0.0,10,84,3335,1403.7,3.453869789830237,3.453869789830237,0.0,0.0
6,TCPConnectScan,0.25,10,84,3335,1403.7,3.617220251172245,3.453869789830237,0.4971497560236511,0.14393992428072594
6,TCPConnectScan,0.5,10,84,3335,1403.7,3.787351088757621,3.453869789830237,0.8730794238012685,0.2527829585156949
6,TCPConnectScan,0.75,10,84,3335,1403.7,3.9377337594856923,3.453869789830237,1.1534790505589367,0.33396715010951006
6,TCPConnectScan,1.0,10,84,3335,1403.7,4.065688701664532,3.453869789830237,1.369185490777271,0.3964207031801765
7,UDPFlood,0.0,10,2637,63416,32013.8,5.3800354831652175,5.3800354831652175,0.0,0.0
7,UDPFlood,0.25,10,2637,63416,32013.8,5.3682027314631915,5.3800354831652175,0.30430818584262825,0.056562486770737
7,UDPFlood,0.5,10,2637,63416,32013.8,5.362559964029274,5.3800354831652175,0.5319553322178198,0.09887580367868808
7,UDPFlood,0.75,10,2637,63416,32013.8,5.358276468552069,5.3800354831652175,0.6971774040155683,0.12958602340023978
7,UDPFlood,1.0,10,2637,63416,32013.8,5.353674614995479,5.3800354831652175,0.8176540927055402,0.15197931226737796
8,UDPScan,0.0,10,37,3282,1113.4,8.645933084279516,8.645933084279516,0.0,0.0
8,UDPScan,0.25,10,37,3282,1113.4,8.812606854638048,8.645933084279516,0.6432942008401974,0.07440425395031894
8,UDPScan,0.5,10,37,3282,1113.4,8.954553862974032,8.645933084279516,1.1533048328462676,0.1333927549061496
8,UDPScan,0.75,10,37,3282,1113.4,9.061615278507716,8.645933084279516,1.5614428575749395,0.18059853602314316
8,UDPScan,1.0,10,37,3282,1113.4,9.134788287720689,8.645933084279516,1.8919878834982704,0.21882980877314223
1 class_id class_name beta n_contributors support_min support_max support_mean prototype_norm reference_norm_beta0 displacement_from_beta0 relative_displacement
2 0 Benign 0.0 10 536 118638 33441.5 5.781474478497102 5.781474478497102 0.0 0.0
3 0 Benign 0.25 10 536 118638 33441.5 6.034523363155307 5.781474478497102 0.44934231344407405 0.0777210580303177
4 0 Benign 0.5 10 536 118638 33441.5 6.184377334793189 5.781474478497102 0.7423202921820351 0.12839636237138624
5 0 Benign 0.75 10 536 118638 33441.5 6.279241110118144 5.781474478497102 0.9589710040117058 0.16586962505471284
6 0 Benign 1.0 10 536 118638 33441.5 6.346908599237262 5.781474478497102 1.1374661214791688 0.19674325740080997
7 1 HTTPFlood 0.0 10 1484 25410 9856.9 8.040515112105078 8.040515112105078 0.0 0.0
8 1 HTTPFlood 0.25 10 1484 25410 9856.9 8.237924127928169 8.040515112105078 0.31613002745222124 0.03931713615913541
9 1 HTTPFlood 0.5 10 1484 25410 9856.9 8.43041250305211 8.040515112105078 0.6174652346598523 0.07679423843507886
10 1 HTTPFlood 0.75 10 1484 25410 9856.9 8.614808236554929 8.040515112105078 0.9049846159797786 0.11255306449425298
11 1 HTTPFlood 1.0 10 1484 25410 9856.9 8.789920650050949 8.040515112105078 1.1798981961668003 0.14674410528629583
12 2 ICMPFlood 0.0 10 1 270 80.8 3.6224561789945593 3.6224561789945593 0.0 0.0
13 2 ICMPFlood 0.25 10 1 270 80.8 3.5980394846920825 3.6224561789945593 0.23482708759290863 0.06482537703412239
14 2 ICMPFlood 0.5 10 1 270 80.8 3.627324539482129 3.6224561789945593 0.4783770963700612 0.13205876696149255
15 2 ICMPFlood 0.75 10 1 270 80.8 3.697214470610192 3.6224561789945593 0.7269008922059704 0.2006651996015939
16 2 ICMPFlood 1.0 10 1 270 80.8 3.7904360054890227 3.6224561789945593 0.9624949343114511 0.2657022988691057
17 3 SYNFlood 0.0 10 6 2670 680.5 3.465183220431711 3.465183220431711 0.0 0.0
18 3 SYNFlood 0.25 10 6 2670 680.5 3.569041282796479 3.465183220431711 0.7216450467734076 0.20825595671778108
19 3 SYNFlood 0.5 10 6 2670 680.5 3.807339651900049 3.465183220431711 1.282696779657381 0.3701670872969239
20 3 SYNFlood 0.75 10 6 2670 680.5 4.079395055744296 3.465183220431711 1.7316419781829142 0.4997259504122778
21 3 SYNFlood 1.0 10 6 2670 680.5 4.337933359236833 3.465183220431711 2.0937360483530942 0.6042208781364945
22 4 SYNScan 0.0 10 91 4022 1403.0 8.045784588585622 8.045784588585622 0.0 0.0
23 4 SYNScan 0.25 10 91 4022 1403.0 8.274957864156102 8.045784588585622 0.6143739282469588 0.07635972868557252
24 4 SYNScan 0.5 10 91 4022 1403.0 8.505120839291314 8.045784588585622 1.1241535798580533 0.13971957209156025
25 4 SYNScan 0.75 10 91 4022 1403.0 8.716663030105147 8.045784588585622 1.528513117591033 0.18997688799169454
26 4 SYNScan 1.0 10 91 4022 1403.0 8.902679438059348 8.045784588585622 1.842405141799617 0.22899011544671438
27 5 SlowrateDoS 0.0 10 99 18020 5118.7 6.196828962382864 6.196828962382864 0.0 0.0
28 5 SlowrateDoS 0.25 10 99 18020 5118.7 6.553678159229446 6.196828962382864 0.5399568475713932 0.08713437967210956
29 5 SlowrateDoS 0.5 10 99 18020 5118.7 6.812828089028118 6.196828962382864 0.8993913264035333 0.14513734877357187
30 5 SlowrateDoS 0.75 10 99 18020 5118.7 7.0100886548577055 6.196828962382864 1.1616596467574192 0.18746033718360475
31 5 SlowrateDoS 1.0 10 99 18020 5118.7 7.175262135131196 6.196828962382864 1.3810692070580681 0.22286708499487232
32 6 TCPConnectScan 0.0 10 84 3335 1403.7 3.453869789830237 3.453869789830237 0.0 0.0
33 6 TCPConnectScan 0.25 10 84 3335 1403.7 3.617220251172245 3.453869789830237 0.4971497560236511 0.14393992428072594
34 6 TCPConnectScan 0.5 10 84 3335 1403.7 3.787351088757621 3.453869789830237 0.8730794238012685 0.2527829585156949
35 6 TCPConnectScan 0.75 10 84 3335 1403.7 3.9377337594856923 3.453869789830237 1.1534790505589367 0.33396715010951006
36 6 TCPConnectScan 1.0 10 84 3335 1403.7 4.065688701664532 3.453869789830237 1.369185490777271 0.3964207031801765
37 7 UDPFlood 0.0 10 2637 63416 32013.8 5.3800354831652175 5.3800354831652175 0.0 0.0
38 7 UDPFlood 0.25 10 2637 63416 32013.8 5.3682027314631915 5.3800354831652175 0.30430818584262825 0.056562486770737
39 7 UDPFlood 0.5 10 2637 63416 32013.8 5.362559964029274 5.3800354831652175 0.5319553322178198 0.09887580367868808
40 7 UDPFlood 0.75 10 2637 63416 32013.8 5.358276468552069 5.3800354831652175 0.6971774040155683 0.12958602340023978
41 7 UDPFlood 1.0 10 2637 63416 32013.8 5.353674614995479 5.3800354831652175 0.8176540927055402 0.15197931226737796
42 8 UDPScan 0.0 10 37 3282 1113.4 8.645933084279516 8.645933084279516 0.0 0.0
43 8 UDPScan 0.25 10 37 3282 1113.4 8.812606854638048 8.645933084279516 0.6432942008401974 0.07440425395031894
44 8 UDPScan 0.5 10 37 3282 1113.4 8.954553862974032 8.645933084279516 1.1533048328462676 0.1333927549061496
45 8 UDPScan 0.75 10 37 3282 1113.4 9.061615278507716 8.645933084279516 1.5614428575749395 0.18059853602314316
46 8 UDPScan 1.0 10 37 3282 1113.4 9.134788287720689 8.645933084279516 1.8919878834982704 0.21882980877314223
@@ -0,0 +1,451 @@
class_id,class_name,beta,client_id,N_ij,weight
0,Benign,0.0,0,7083.0,0.1
0,Benign,0.0,1,31172.0,0.1
0,Benign,0.0,2,30915.0,0.1
0,Benign,0.0,3,41272.0,0.1
0,Benign,0.0,4,7313.0,0.1
0,Benign,0.0,5,9497.0,0.1
0,Benign,0.0,6,118638.0,0.1
0,Benign,0.0,7,67601.0,0.1
0,Benign,0.0,8,20388.0,0.1
0,Benign,0.0,9,536.0,0.1
0,Benign,0.25,0,7083.0,0.07610772802107614
0,Benign,0.25,1,31172.0,0.11023401199386175
0,Benign,0.25,2,30915.0,0.11000609789221906
0,Benign,0.25,3,41272.0,0.11824650842475129
0,Benign,0.25,4,7313.0,0.07671818865329356
0,Benign,0.25,5,9497.0,0.08189757766668841
0,Benign,0.25,6,118638.0,0.153967976175725
0,Benign,0.25,7,67601.0,0.13377123209952194
0,Benign,0.25,8,20388.0,0.09913296670411043
0,Benign,0.25,9,536.0,0.039917712368752495
0,Benign,0.5,0,7083.0,0.052829972999745796
0,Benign,0.5,1,31172.0,0.11082917530765998
0,Benign,0.5,2,30915.0,0.11037135981454033
0,Benign,0.5,3,41272.0,0.1275262312438105
0,Benign,0.5,4,7313.0,0.053680871082802124
0,Benign,0.5,5,9497.0,0.061173733507939
0,Benign,0.5,6,118638.0,0.21621393269917433
0,Benign,0.5,7,67601.0,0.1632105874704152
0,Benign,0.5,8,20388.0,0.08963117304764301
0,Benign,0.5,9,536.0,0.014532962826269735
0,Benign,0.75,0,7083.0,0.034314025741143096
0,Benign,0.75,1,31172.0,0.10426348618872867
0,Benign,0.75,2,30915.0,0.10361811310921243
0,Benign,0.75,3,41272.0,0.1286916524800327
0,Benign,0.75,4,7313.0,0.03514636552700485
0,Benign,0.75,5,9497.0,0.042756147819749374
0,Benign,0.75,6,118638.0,0.2841035130209821
0,Benign,0.75,7,67601.0,0.1863260518743395
0,Benign,0.75,8,20388.0,0.07582976499502693
0,Benign,0.75,9,536.0,0.004950879243780426
0,Benign,1.0,0,7083.0,0.021180270023772856
0,Benign,1.0,1,31172.0,0.09321352212071828
0,Benign,1.0,2,30915.0,0.0924450159233288
0,Benign,1.0,3,41272.0,0.12341551664847569
0,Benign,1.0,4,7313.0,0.021868038215989115
0,Benign,1.0,5,9497.0,0.02839884574555567
0,Benign,1.0,6,118638.0,0.35476279473109756
0,Benign,1.0,7,67601.0,0.20214703287830987
0,Benign,1.0,8,20388.0,0.06096616479523945
0,Benign,1.0,9,536.0,0.0016027989175126714
1,HTTPFlood,0.0,0,17146.0,0.1
1,HTTPFlood,0.0,1,12345.0,0.1
1,HTTPFlood,0.0,2,1484.0,0.1
1,HTTPFlood,0.0,3,8659.0,0.1
1,HTTPFlood,0.0,4,25410.0,0.1
1,HTTPFlood,0.0,5,7911.0,0.1
1,HTTPFlood,0.0,6,5810.0,0.1
1,HTTPFlood,0.0,7,10568.0,0.1
1,HTTPFlood,0.0,8,3396.0,0.1
1,HTTPFlood,0.0,9,5840.0,0.1
1,HTTPFlood,0.25,0,17146.0,0.12027709693538534
1,HTTPFlood,0.25,1,12345.0,0.1107936846645228
1,HTTPFlood,0.25,2,1484.0,0.06523801039368582
1,HTTPFlood,0.25,3,8659.0,0.10139327880575376
1,HTTPFlood,0.25,4,25410.0,0.1327068677174358
1,HTTPFlood,0.25,5,7911.0,0.09912885241252227
1,HTTPFlood,0.25,6,5810.0,0.09176694321624473
1,HTTPFlood,0.25,7,10568.0,0.10657134171931135
1,HTTPFlood,0.25,8,3396.0,0.08023874969685832
1,HTTPFlood,0.25,9,5840.0,0.0918851744382798
1,HTTPFlood,0.5,0,17146.0,0.139941619522647
1,HTTPFlood,0.5,1,12345.0,0.11874382463630251
1,HTTPFlood,0.5,2,1484.0,0.04117014877597004
1,HTTPFlood,0.5,3,8659.0,0.09944875619002022
1,HTTPFlood,0.5,4,25410.0,0.17036007337616
1,HTTPFlood,0.5,5,7911.0,0.09505635964576942
1,HTTPFlood,0.5,6,5810.0,0.08146171559115428
1,HTTPFlood,0.5,7,10568.0,0.10986563956580202
1,HTTPFlood,0.5,8,3396.0,0.0622801036564277
1,HTTPFlood,0.5,9,5840.0,0.08167175903974684
1,HTTPFlood,0.75,0,17146.0,0.15808394165736586
1,HTTPFlood,0.75,1,12345.0,0.12356172486233634
1,HTTPFlood,0.75,2,1484.0,0.025225574578791567
1,HTTPFlood,0.75,3,8659.0,0.09470359082946475
1,HTTPFlood,0.75,4,25410.0,0.21233380400565785
1,HTTPFlood,0.75,5,7911.0,0.08849916638572083
1,HTTPFlood,0.75,6,5810.0,0.07020980079263504
1,HTTPFlood,0.75,7,10568.0,0.10996646008549121
1,HTTPFlood,0.75,8,3396.0,0.046934414307307146
1,HTTPFlood,0.75,9,5840.0,0.07048152249522938
1,HTTPFlood,1.0,0,17146.0,0.17394921324148566
1,HTTPFlood,1.0,1,12345.0,0.1252422161125709
1,HTTPFlood,1.0,2,1484.0,0.015055443394982194
1,HTTPFlood,1.0,3,8659.0,0.08784709188487252
1,HTTPFlood,1.0,4,25410.0,0.2577889600178555
1,HTTPFlood,1.0,5,7911.0,0.08025849912244215
1,HTTPFlood,1.0,6,5810.0,0.05894348121620388
1,HTTPFlood,1.0,7,10568.0,0.1072142357130538
1,HTTPFlood,1.0,8,3396.0,0.03445302275563311
1,HTTPFlood,1.0,9,5840.0,0.05924783654090028
2,ICMPFlood,0.0,0,88.0,0.1
2,ICMPFlood,0.0,1,8.0,0.1
2,ICMPFlood,0.0,2,35.0,0.1
2,ICMPFlood,0.0,3,25.0,0.1
2,ICMPFlood,0.0,4,41.0,0.1
2,ICMPFlood,0.0,5,19.0,0.1
2,ICMPFlood,0.0,6,251.0,0.1
2,ICMPFlood,0.0,7,270.0,0.1
2,ICMPFlood,0.0,8,1.0,0.1
2,ICMPFlood,0.0,9,70.0,0.1
2,ICMPFlood,0.25,0,88.0,0.11799277125437847
2,ICMPFlood,0.25,1,8.0,0.06478988813184171
2,ICMPFlood,0.25,2,35.0,0.09370262218822603
2,ICMPFlood,0.25,3,25.0,0.08614294905377465
2,ICMPFlood,0.25,4,41.0,0.09748340662802273
2,ICMPFlood,0.25,5,19.0,0.08043093800338408
2,ICMPFlood,0.25,6,251.0,0.1533391896103146
2,ICMPFlood,0.25,7,270.0,0.1561621121560993
2,ICMPFlood,0.25,8,1.0,0.03852429797330826
2,ICMPFlood,0.25,9,70.0,0.11143182500065023
2,ICMPFlood,0.5,0,88.0,0.12420234546262135
2,ICMPFlood,0.5,1,8.0,0.03744841618014686
2,ICMPFlood,0.5,2,35.0,0.07832898218735194
2,ICMPFlood,0.5,3,25.0,0.06620007256419468
2,ICMPFlood,0.5,4,41.0,0.08477745783112166
2,ICMPFlood,0.5,5,19.0,0.05771188527247683
2,ICMPFlood,0.5,6,251.0,0.20976127874168435
2,ICMPFlood,0.5,7,270.0,0.21755563831132974
2,ICMPFlood,0.5,8,1.0,0.013240014512838936
2,ICMPFlood,0.5,9,70.0,0.11077390893623369
2,ICMPFlood,0.75,0,88.0,0.12010097474977831
2,ICMPFlood,0.75,1,8.0,0.019883920511346753
2,ICMPFlood,0.75,2,35.0,0.06014999025823187
2,ICMPFlood,0.75,3,25.0,0.04673470811103411
2,ICMPFlood,0.75,4,41.0,0.06772865023224453
2,ICMPFlood,0.75,5,19.0,0.03804080763746241
2,ICMPFlood,0.75,6,251.0,0.2635966090888587
2,ICMPFlood,0.75,7,270.0,0.278424437669862
2,ICMPFlood,0.75,8,1.0,0.004180079369795323
2,ICMPFlood,0.75,9,70.0,0.10115982237138606
2,ICMPFlood,1.0,0,88.0,0.10891089108910891
2,ICMPFlood,1.0,1,8.0,0.009900990099009901
2,ICMPFlood,1.0,2,35.0,0.043316831683168314
2,ICMPFlood,1.0,3,25.0,0.03094059405940594
2,ICMPFlood,1.0,4,41.0,0.050742574257425746
2,ICMPFlood,1.0,5,19.0,0.023514851485148515
2,ICMPFlood,1.0,6,251.0,0.31064356435643564
2,ICMPFlood,1.0,7,270.0,0.3341584158415842
2,ICMPFlood,1.0,8,1.0,0.0012376237623762376
2,ICMPFlood,1.0,9,70.0,0.08663366336633663
3,SYNFlood,0.0,0,380.0,0.1
3,SYNFlood,0.0,1,2670.0,0.1
3,SYNFlood,0.0,2,462.0,0.1
3,SYNFlood,0.0,3,6.0,0.1
3,SYNFlood,0.0,4,110.0,0.1
3,SYNFlood,0.0,5,1678.0,0.1
3,SYNFlood,0.0,6,185.0,0.1
3,SYNFlood,0.0,7,59.0,0.1
3,SYNFlood,0.0,8,450.0,0.1
3,SYNFlood,0.0,9,805.0,0.1
3,SYNFlood,0.25,0,380.0,0.10072117064718765
3,SYNFlood,0.25,1,2670.0,0.16398445506207102
3,SYNFlood,0.25,2,462.0,0.105763389233269
3,SYNFlood,0.25,3,6.0,0.035703655074472665
3,SYNFlood,0.25,4,110.0,0.07387934508576045
3,SYNFlood,0.25,5,1678.0,0.14600672335620737
3,SYNFlood,0.25,6,185.0,0.08413327557976374
3,SYNFlood,0.25,7,59.0,0.06322485886277793
3,SYNFlood,0.25,8,450.0,0.10506982140916887
3,SYNFlood,0.25,9,805.0,0.12151330568932135
3,SYNFlood,0.5,0,380.0,0.08965490621321268
3,SYNFlood,0.5,1,2670.0,0.2376500406703039
3,SYNFlood,0.5,2,462.0,0.09885604925374256
3,SYNFlood,0.5,3,6.0,0.011265692359478862
3,SYNFlood,0.5,4,110.0,0.04823681283906558
3,SYNFlood,0.5,5,1678.0,0.18839884697093623
3,SYNFlood,0.5,6,185.0,0.06255587835768352
3,SYNFlood,0.5,7,59.0,0.03532712280945715
3,SYNFlood,0.5,8,450.0,0.09756375774528948
3,SYNFlood,0.5,9,805.0,0.13049089278083004
3,SYNFlood,0.75,0,380.0,0.07309858889308711
3,SYNFlood,0.75,1,2670.0,0.31546758555634774
3,SYNFlood,0.75,2,462.0,0.08463554157358168
3,SYNFlood,0.75,3,6.0,0.0032560025299836317
3,SYNFlood,0.75,4,110.0,0.02884800666747462
3,SYNFlood,0.75,5,1678.0,0.22267182227081056
3,SYNFlood,0.75,6,185.0,0.04260397215696479
3,SYNFlood,0.75,7,59.0,0.018080494516571056
3,SYNFlood,0.75,8,450.0,0.0829813853966454
3,SYNFlood,0.75,9,805.0,0.12835660043853334
3,SYNFlood,1.0,0,380.0,0.055841293166789124
3,SYNFlood,1.0,1,2670.0,0.3923585598824394
3,SYNFlood,1.0,2,462.0,0.06789125642909626
3,SYNFlood,1.0,3,6.0,0.000881704628949302
3,SYNFlood,1.0,4,110.0,0.016164584864070537
3,SYNFlood,1.0,5,1678.0,0.24658339456282147
3,SYNFlood,1.0,6,185.0,0.02718589272593681
3,SYNFlood,1.0,7,59.0,0.008670095518001469
3,SYNFlood,1.0,8,450.0,0.06612784717119764
3,SYNFlood,1.0,9,805.0,0.11829537105069801
4,SYNScan,0.0,0,4022.0,0.1
4,SYNScan,0.0,1,626.0,0.1
4,SYNScan,0.0,2,3070.0,0.1
4,SYNScan,0.0,3,737.0,0.1
4,SYNScan,0.0,4,357.0,0.1
4,SYNScan,0.0,5,710.0,0.1
4,SYNScan,0.0,6,1939.0,0.1
4,SYNScan,0.0,7,160.0,0.1
4,SYNScan,0.0,8,91.0,0.1
4,SYNScan,0.0,9,2318.0,0.1
4,SYNScan,0.25,0,4022.0,0.14388270266328346
4,SYNScan,0.25,1,626.0,0.09037361478892687
4,SYNScan,0.25,2,3070.0,0.13448773030218933
4,SYNScan,0.25,3,737.0,0.09413799458430443
4,SYNScan,0.25,4,357.0,0.07853533930069634
4,SYNScan,0.25,5,710.0,0.09326370355357082
4,SYNScan,0.25,6,1939.0,0.11989263980394038
4,SYNScan,0.25,7,160.0,0.06425812751254269
4,SYNScan,0.25,8,91.0,0.05580311191094303
4,SYNScan,0.25,9,2318.0,0.12536503557960268
4,SYNScan,0.5,0,4022.0,0.19165506653285913
4,SYNScan,0.5,1,626.0,0.07561125352393196
4,SYNScan,0.5,2,3070.0,0.16744356397271185
4,SYNScan,0.5,3,737.0,0.08204139104795498
4,SYNScan,0.5,4,357.0,0.057099641237372344
4,SYNScan,0.5,5,710.0,0.08052457583524053
4,SYNScan,0.5,6,1939.0,0.13307245712827215
4,SYNScan,0.5,7,160.0,0.03822603585404138
4,SYNScan,0.5,8,91.0,0.028828362049964744
4,SYNScan,0.5,9,2318.0,0.14549765281765098
4,SYNScan,0.75,0,4022.0,0.23998707158589525
4,SYNScan,0.75,1,626.0,0.05946850853227758
4,SYNScan,0.75,2,3070.0,0.19597924410223644
4,SYNScan,0.75,3,737.0,0.0672135621511094
4,SYNScan,0.75,4,357.0,0.039026307190910645
4,SYNScan,0.75,5,710.0,0.06535819626694679
4,SYNScan,0.75,6,1939.0,0.13884800799285962
4,SYNScan,0.75,7,160.0,0.02137697668791778
4,SYNScan,0.75,8,91.0,0.014000299967519655
4,SYNScan,0.75,9,2318.0,0.15874182552232696
4,SYNScan,1.0,0,4022.0,0.2866714183891661
4,SYNScan,1.0,1,626.0,0.04461867426942267
4,SYNScan,1.0,2,3070.0,0.21881682109764788
4,SYNScan,1.0,3,737.0,0.052530292230933716
4,SYNScan,1.0,4,357.0,0.025445473984319317
4,SYNScan,1.0,5,710.0,0.05060584461867427
4,SYNScan,1.0,6,1939.0,0.13820384889522452
4,SYNScan,1.0,7,160.0,0.011404133998574484
4,SYNScan,1.0,8,91.0,0.0064861012116892375
4,SYNScan,1.0,9,2318.0,0.16521739130434782
5,SlowrateDoS,0.0,0,335.0,0.1
5,SlowrateDoS,0.0,1,18020.0,0.1
5,SlowrateDoS,0.0,2,5630.0,0.1
5,SlowrateDoS,0.0,3,8841.0,0.1
5,SlowrateDoS,0.0,4,5017.0,0.1
5,SlowrateDoS,0.0,5,4985.0,0.1
5,SlowrateDoS,0.0,6,1759.0,0.1
5,SlowrateDoS,0.0,7,4201.0,0.1
5,SlowrateDoS,0.0,8,99.0,0.1
5,SlowrateDoS,0.0,9,2300.0,0.1
5,SlowrateDoS,0.25,0,335.0,0.056553707700137935
5,SlowrateDoS,0.25,1,18020.0,0.15315760898081135
5,SlowrateDoS,0.25,2,5630.0,0.11450566671486577
5,SlowrateDoS,0.25,3,8841.0,0.12818146436502775
5,SlowrateDoS,0.25,4,5017.0,0.11125278879660548
5,SlowrateDoS,0.25,5,4985.0,0.11107496159279992
5,SlowrateDoS,0.25,6,1759.0,0.08560839224865945
5,SlowrateDoS,0.25,7,4201.0,0.10642362590502465
5,SlowrateDoS,0.25,8,99.0,0.04169737157232334
5,SlowrateDoS,0.25,9,2300.0,0.09154441212374431
5,SlowrateDoS,0.5,0,335.0,0.02915881527071058
5,SlowrateDoS,0.5,1,18020.0,0.21385768649187742
5,SlowrateDoS,0.5,2,5630.0,0.11953681179080197
5,SlowrateDoS,0.5,3,8841.0,0.14979529282555273
5,SlowrateDoS,0.5,4,5017.0,0.11284167432494366
5,SlowrateDoS,0.5,5,4985.0,0.11248122884640692
5,SlowrateDoS,0.5,6,1759.0,0.06681598739681761
5,SlowrateDoS,0.5,7,4201.0,0.10325802444437501
5,SlowrateDoS,0.5,8,99.0,0.015851306673494374
5,SlowrateDoS,0.5,9,2300.0,0.07640317193501961
5,SlowrateDoS,0.75,0,335.0,0.014130131275416527
5,SlowrateDoS,0.75,1,18020.0,0.28065881123322484
5,SlowrateDoS,0.75,2,5630.0,0.11728538222496725
5,SlowrateDoS,0.75,3,8841.0,0.16452755139825542
5,SlowrateDoS,0.75,4,5017.0,0.10757111424270874
5,SlowrateDoS,0.75,5,4985.0,0.10705611113350831
5,SlowrateDoS,0.75,6,1759.0,0.04901307733464118
5,SlowrateDoS,0.75,7,4201.0,0.09416230965595408
5,SlowrateDoS,0.75,8,99.0,0.005663553238695799
5,SlowrateDoS,0.75,9,2300.0,0.0599319582626279
5,SlowrateDoS,1.0,0,335.0,0.0065446304725809284
5,SlowrateDoS,1.0,1,18020.0,0.3520425107937562
5,SlowrateDoS,1.0,2,5630.0,0.10998886436009143
5,SlowrateDoS,1.0,3,8841.0,0.17271963584503877
5,SlowrateDoS,1.0,4,5017.0,0.09801316740578662
5,SlowrateDoS,1.0,5,4985.0,0.0973880086740774
5,SlowrateDoS,1.0,6,1759.0,0.034364194033641354
5,SlowrateDoS,1.0,7,4201.0,0.08207161974720144
5,SlowrateDoS,1.0,8,99.0,0.0019340848262254088
5,SlowrateDoS,1.0,9,2300.0,0.044933283841600405
6,TCPConnectScan,0.0,0,1387.0,0.1
6,TCPConnectScan,0.0,1,3054.0,0.1
6,TCPConnectScan,0.0,2,105.0,0.1
6,TCPConnectScan,0.0,3,84.0,0.1
6,TCPConnectScan,0.0,4,783.0,0.1
6,TCPConnectScan,0.0,5,1378.0,0.1
6,TCPConnectScan,0.0,6,1832.0,0.1
6,TCPConnectScan,0.0,7,3335.0,0.1
6,TCPConnectScan,0.0,8,1675.0,0.1
6,TCPConnectScan,0.0,9,404.0,0.1
6,TCPConnectScan,0.25,0,1387.0,0.10864642743005648
6,TCPConnectScan,0.25,1,3054.0,0.13234684513137038
6,TCPConnectScan,0.25,2,105.0,0.05698934423818823
6,TCPConnectScan,0.25,3,84.0,0.05389719411586
6,TCPConnectScan,0.25,4,783.0,0.09417524862694548
6,TCPConnectScan,0.25,5,1378.0,0.10846975002799569
6,TCPConnectScan,0.25,6,1832.0,0.11647365451595365
6,TCPConnectScan,0.25,7,3335.0,0.13529143226891122
6,TCPConnectScan,0.25,8,1675.0,0.1138937880908595
6,TCPConnectScan,0.25,9,404.0,0.07981631555385936
6,TCPConnectScan,0.5,0,1387.0,0.10998984983852704
6,TCPConnectScan,0.5,1,3054.0,0.1632108005321531
6,TCPConnectScan,0.5,2,105.0,0.030262794455462226
6,TCPConnectScan,0.5,3,84.0,0.02706786623660691
6,TCPConnectScan,0.5,4,783.0,0.08264094213164008
6,TCPConnectScan,0.5,5,1378.0,0.10963241663170872
6,TCPConnectScan,0.5,6,1832.0,0.12640874314850947
6,TCPConnectScan,0.5,7,3335.0,0.17055415251539285
6,TCPConnectScan,0.5,8,1675.0,0.12087090791122115
6,TCPConnectScan,0.5,9,404.0,0.05936152659877852
6,TCPConnectScan,0.75,0,1387.0,0.10602361641363942
6,TCPConnectScan,0.75,1,3054.0,0.1916448011662039
6,TCPConnectScan,0.75,2,105.0,0.015301614000045658
6,TCPConnectScan,0.75,3,84.0,0.012943589542326482
6,TCPConnectScan,0.75,4,783.0,0.06905046212235945
6,TCPConnectScan,0.75,5,1378.0,0.10550722026401832
6,TCPConnectScan,0.75,6,1832.0,0.13062893012413246
6,TCPConnectScan,0.75,7,3335.0,0.2047232401958962
6,TCPConnectScan,0.75,8,1675.0,0.12213956711401079
6,TCPConnectScan,0.75,9,404.0,0.04203695905736729
6,TCPConnectScan,1.0,0,1387.0,0.09881028709838284
6,TCPConnectScan,1.0,1,3054.0,0.2175678563795683
6,TCPConnectScan,1.0,2,105.0,0.007480230818550973
6,TCPConnectScan,1.0,3,84.0,0.005984184654840778
6,TCPConnectScan,1.0,4,783.0,0.055781149818337254
6,TCPConnectScan,1.0,5,1378.0,0.09816912445679277
6,TCPConnectScan,1.0,6,1832.0,0.13051221771033697
6,TCPConnectScan,1.0,7,3335.0,0.23758637885588088
6,TCPConnectScan,1.0,8,1675.0,0.11932749162926551
6,TCPConnectScan,1.0,9,404.0,0.028781078578043743
7,UDPFlood,0.0,0,47750.0,0.1
7,UDPFlood,0.0,1,39353.0,0.1
7,UDPFlood,0.0,2,15448.0,0.1
7,UDPFlood,0.0,3,5446.0,0.1
7,UDPFlood,0.0,4,8809.0,0.1
7,UDPFlood,0.0,5,45069.0,0.1
7,UDPFlood,0.0,6,58797.0,0.1
7,UDPFlood,0.0,7,2637.0,0.1
7,UDPFlood,0.0,8,33413.0,0.1
7,UDPFlood,0.0,9,63416.0,0.1
7,UDPFlood,0.25,0,47750.0,0.11826712032138023
7,UDPFlood,0.25,1,39353.0,0.1126847485020435
7,UDPFlood,0.25,2,15448.0,0.08919463724194775
7,UDPFlood,0.25,3,5446.0,0.06872900990477984
7,UDPFlood,0.25,4,8809.0,0.07750903517157204
7,UDPFlood,0.25,5,45069.0,0.11657090250550946
7,UDPFlood,0.25,6,58797.0,0.12458319668455896
7,UDPFlood,0.25,7,2637.0,0.057332147668671486
7,UDPFlood,0.25,8,33413.0,0.1081681858639134
7,UDPFlood,0.25,9,63416.0,0.12696101613562336
7,UDPFlood,0.5,0,47750.0,0.13246856936048315
7,UDPFlood,0.5,1,39353.0,0.12025830569983086
7,UDPFlood,0.5,2,15448.0,0.0753463621099874
7,UDPFlood,0.5,3,5446.0,0.04473680623786119
7,UDPFlood,0.5,4,8809.0,0.056897012451837314
7,UDPFlood,0.5,5,45069.0,0.12869602081478843
7,UDPFlood,0.5,6,58797.0,0.14699539915848045
7,UDPFlood,0.5,7,2637.0,0.031130150690793768
7,UDPFlood,0.5,8,33413.0,0.11081126007287334
7,UDPFlood,0.5,9,63416.0,0.1526601134030641
7,UDPFlood,0.75,0,47750.0,0.14256500727391644
7,UDPFlood,0.75,1,39353.0,0.12331510947208825
7,UDPFlood,0.75,2,15448.0,0.06115572290476028
7,UDPFlood,0.75,3,5446.0,0.027979576479381235
7,UDPFlood,0.75,4,8809.0,0.04013080450231293
7,UDPFlood,0.75,5,45069.0,0.13651845042606822
7,UDPFlood,0.75,6,58797.0,0.16664768475234437
7,UDPFlood,0.75,7,2637.0,0.016241102452153273
7,UDPFlood,0.75,8,33413.0,0.10907356591702368
7,UDPFlood,0.75,9,63416.0,0.1763729758199513
7,UDPFlood,1.0,0,47750.0,0.14915442715329014
7,UDPFlood,1.0,1,39353.0,0.12292511354478382
7,UDPFlood,1.0,2,15448.0,0.04825419038039845
7,UDPFlood,1.0,3,5446.0,0.017011413827786766
7,UDPFlood,1.0,4,8809.0,0.02751625861347294
7,UDPFlood,1.0,5,45069.0,0.14077991366223316
7,UDPFlood,1.0,6,58797.0,0.1836614210121885
7,UDPFlood,1.0,7,2637.0,0.008237072762371227
7,UDPFlood,1.0,8,33413.0,0.10437061517220698
7,UDPFlood,1.0,9,63416.0,0.19808957387126802
8,UDPScan,0.0,0,600.0,0.1
8,UDPScan,0.0,1,562.0,0.1
8,UDPScan,0.0,2,1283.0,0.1
8,UDPScan,0.0,3,37.0,0.1
8,UDPScan,0.0,4,1697.0,0.1
8,UDPScan,0.0,5,238.0,0.1
8,UDPScan,0.0,6,2697.0,0.1
8,UDPScan,0.0,7,283.0,0.1
8,UDPScan,0.0,8,3282.0,0.1
8,UDPScan,0.0,9,455.0,0.1
8,UDPScan,0.25,0,600.0,0.09497503778767112
8,UDPScan,0.25,1,562.0,0.09343417200497736
8,UDPScan,0.25,2,1283.0,0.11484929311857596
8,UDPScan,0.25,3,37.0,0.047328429492753364
8,UDPScan,0.25,4,1697.0,0.1231663646288253
8,UDPScan,0.25,5,238.0,0.07537301740049751
8,UDPScan,0.25,6,2697.0,0.13829035740372056
8,UDPScan,0.25,7,283.0,0.07870789023787023
8,UDPScan,0.25,8,3282.0,0.14524671089743035
8,UDPScan,0.25,9,455.0,0.08862872702767824
8,UDPScan,0.5,0,600.0,0.08328769924083533
8,UDPScan,0.5,1,562.0,0.08060711873851976
8,UDPScan,0.5,2,1283.0,0.12179194557330993
8,UDPScan,0.5,3,37.0,0.020682646158022514
8,UDPScan,0.5,4,1697.0,0.14007033300976354
8,UDPScan,0.5,5,238.0,0.05245582460620203
8,UDPScan,0.5,6,2697.0,0.17658170799241674
8,UDPScan,0.5,7,283.0,0.05720031991588
8,UDPScan,0.5,8,3282.0,0.19479353023452853
8,UDPScan,0.5,9,455.0,0.07252887453052162
8,UDPScan,0.75,0,600.0,0.06863146232458753
8,UDPScan,0.75,1,562.0,0.06534495321427508
8,UDPScan,0.75,2,1283.0,0.12136118460920566
8,UDPScan,0.75,3,37.0,0.008492999680099185
8,UDPScan,0.75,4,1697.0,0.1496825579944023
8,UDPScan,0.75,5,238.0,0.03430382376205974
8,UDPScan,0.75,6,2697.0,0.211870516108934
8,UDPScan,0.75,7,283.0,0.03906156518243986
8,UDPScan,0.75,8,3282.0,0.24547866185900888
8,UDPScan,0.75,9,455.0,0.05577227526498772
8,UDPScan,1.0,0,600.0,0.05388898868331238
8,UDPScan,1.0,1,562.0,0.050476019400035925
8,UDPScan,1.0,2,1283.0,0.11523262080114963
8,UDPScan,1.0,3,37.0,0.0033231543021375967
8,UDPScan,1.0,4,1697.0,0.15241602299263518
8,UDPScan,1.0,5,238.0,0.021375965511047243
8,UDPScan,1.0,6,2697.0,0.24223100413148912
8,UDPScan,1.0,7,283.0,0.025417639662295672
8,UDPScan,1.0,8,3282.0,0.2947727680977187
8,UDPScan,1.0,9,455.0,0.040865816418178554
1 class_id class_name beta client_id N_ij weight
2 0 Benign 0.0 0 7083.0 0.1
3 0 Benign 0.0 1 31172.0 0.1
4 0 Benign 0.0 2 30915.0 0.1
5 0 Benign 0.0 3 41272.0 0.1
6 0 Benign 0.0 4 7313.0 0.1
7 0 Benign 0.0 5 9497.0 0.1
8 0 Benign 0.0 6 118638.0 0.1
9 0 Benign 0.0 7 67601.0 0.1
10 0 Benign 0.0 8 20388.0 0.1
11 0 Benign 0.0 9 536.0 0.1
12 0 Benign 0.25 0 7083.0 0.07610772802107614
13 0 Benign 0.25 1 31172.0 0.11023401199386175
14 0 Benign 0.25 2 30915.0 0.11000609789221906
15 0 Benign 0.25 3 41272.0 0.11824650842475129
16 0 Benign 0.25 4 7313.0 0.07671818865329356
17 0 Benign 0.25 5 9497.0 0.08189757766668841
18 0 Benign 0.25 6 118638.0 0.153967976175725
19 0 Benign 0.25 7 67601.0 0.13377123209952194
20 0 Benign 0.25 8 20388.0 0.09913296670411043
21 0 Benign 0.25 9 536.0 0.039917712368752495
22 0 Benign 0.5 0 7083.0 0.052829972999745796
23 0 Benign 0.5 1 31172.0 0.11082917530765998
24 0 Benign 0.5 2 30915.0 0.11037135981454033
25 0 Benign 0.5 3 41272.0 0.1275262312438105
26 0 Benign 0.5 4 7313.0 0.053680871082802124
27 0 Benign 0.5 5 9497.0 0.061173733507939
28 0 Benign 0.5 6 118638.0 0.21621393269917433
29 0 Benign 0.5 7 67601.0 0.1632105874704152
30 0 Benign 0.5 8 20388.0 0.08963117304764301
31 0 Benign 0.5 9 536.0 0.014532962826269735
32 0 Benign 0.75 0 7083.0 0.034314025741143096
33 0 Benign 0.75 1 31172.0 0.10426348618872867
34 0 Benign 0.75 2 30915.0 0.10361811310921243
35 0 Benign 0.75 3 41272.0 0.1286916524800327
36 0 Benign 0.75 4 7313.0 0.03514636552700485
37 0 Benign 0.75 5 9497.0 0.042756147819749374
38 0 Benign 0.75 6 118638.0 0.2841035130209821
39 0 Benign 0.75 7 67601.0 0.1863260518743395
40 0 Benign 0.75 8 20388.0 0.07582976499502693
41 0 Benign 0.75 9 536.0 0.004950879243780426
42 0 Benign 1.0 0 7083.0 0.021180270023772856
43 0 Benign 1.0 1 31172.0 0.09321352212071828
44 0 Benign 1.0 2 30915.0 0.0924450159233288
45 0 Benign 1.0 3 41272.0 0.12341551664847569
46 0 Benign 1.0 4 7313.0 0.021868038215989115
47 0 Benign 1.0 5 9497.0 0.02839884574555567
48 0 Benign 1.0 6 118638.0 0.35476279473109756
49 0 Benign 1.0 7 67601.0 0.20214703287830987
50 0 Benign 1.0 8 20388.0 0.06096616479523945
51 0 Benign 1.0 9 536.0 0.0016027989175126714
52 1 HTTPFlood 0.0 0 17146.0 0.1
53 1 HTTPFlood 0.0 1 12345.0 0.1
54 1 HTTPFlood 0.0 2 1484.0 0.1
55 1 HTTPFlood 0.0 3 8659.0 0.1
56 1 HTTPFlood 0.0 4 25410.0 0.1
57 1 HTTPFlood 0.0 5 7911.0 0.1
58 1 HTTPFlood 0.0 6 5810.0 0.1
59 1 HTTPFlood 0.0 7 10568.0 0.1
60 1 HTTPFlood 0.0 8 3396.0 0.1
61 1 HTTPFlood 0.0 9 5840.0 0.1
62 1 HTTPFlood 0.25 0 17146.0 0.12027709693538534
63 1 HTTPFlood 0.25 1 12345.0 0.1107936846645228
64 1 HTTPFlood 0.25 2 1484.0 0.06523801039368582
65 1 HTTPFlood 0.25 3 8659.0 0.10139327880575376
66 1 HTTPFlood 0.25 4 25410.0 0.1327068677174358
67 1 HTTPFlood 0.25 5 7911.0 0.09912885241252227
68 1 HTTPFlood 0.25 6 5810.0 0.09176694321624473
69 1 HTTPFlood 0.25 7 10568.0 0.10657134171931135
70 1 HTTPFlood 0.25 8 3396.0 0.08023874969685832
71 1 HTTPFlood 0.25 9 5840.0 0.0918851744382798
72 1 HTTPFlood 0.5 0 17146.0 0.139941619522647
73 1 HTTPFlood 0.5 1 12345.0 0.11874382463630251
74 1 HTTPFlood 0.5 2 1484.0 0.04117014877597004
75 1 HTTPFlood 0.5 3 8659.0 0.09944875619002022
76 1 HTTPFlood 0.5 4 25410.0 0.17036007337616
77 1 HTTPFlood 0.5 5 7911.0 0.09505635964576942
78 1 HTTPFlood 0.5 6 5810.0 0.08146171559115428
79 1 HTTPFlood 0.5 7 10568.0 0.10986563956580202
80 1 HTTPFlood 0.5 8 3396.0 0.0622801036564277
81 1 HTTPFlood 0.5 9 5840.0 0.08167175903974684
82 1 HTTPFlood 0.75 0 17146.0 0.15808394165736586
83 1 HTTPFlood 0.75 1 12345.0 0.12356172486233634
84 1 HTTPFlood 0.75 2 1484.0 0.025225574578791567
85 1 HTTPFlood 0.75 3 8659.0 0.09470359082946475
86 1 HTTPFlood 0.75 4 25410.0 0.21233380400565785
87 1 HTTPFlood 0.75 5 7911.0 0.08849916638572083
88 1 HTTPFlood 0.75 6 5810.0 0.07020980079263504
89 1 HTTPFlood 0.75 7 10568.0 0.10996646008549121
90 1 HTTPFlood 0.75 8 3396.0 0.046934414307307146
91 1 HTTPFlood 0.75 9 5840.0 0.07048152249522938
92 1 HTTPFlood 1.0 0 17146.0 0.17394921324148566
93 1 HTTPFlood 1.0 1 12345.0 0.1252422161125709
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444 8 UDPScan 1.0 2 1283.0 0.11523262080114963
445 8 UDPScan 1.0 3 37.0 0.0033231543021375967
446 8 UDPScan 1.0 4 1697.0 0.15241602299263518
447 8 UDPScan 1.0 5 238.0 0.021375965511047243
448 8 UDPScan 1.0 6 2697.0 0.24223100413148912
449 8 UDPScan 1.0 7 283.0 0.025417639662295672
450 8 UDPScan 1.0 8 3282.0 0.2947727680977187
451 8 UDPScan 1.0 9 455.0 0.040865816418178554
@@ -0,0 +1,11 @@
dataset,alpha,beta,n_seeds,pooled_val_mean,pooled_val_std_sample,pooled_val_std_pop,pooled_val_min,pooled_val_max,pooled_val_recall,selected,cells_sj_lt_M_total,cells_total,missing_client_class_cells_total,client_size_ratio_mean,support_cv_mean,union_unseen_mean,mean_displacement_beta1
5gnidd,0.5,0.0,3,0.6872301309573783,0.052725844344546816,0.04305047163384996,0.6332434333373904,0.7385974827605487,0.9477370387940001,False,4,27,4,9.594308791178781,1.2251708481787265,1.3333333333333333,2.3399083587182736
5gnidd,0.5,0.25,3,0.6450777370820986,0.06474313739822393,0.052862550324183834,0.5737166466423315,0.7000551711341446,0.9468616498164765,False,4,27,4,9.594308791178781,1.2251708481787265,1.3333333333333333,2.3399083587182736
5gnidd,0.5,0.5,3,0.6746687817772702,0.10225286523806497,0.08348911485694357,0.5633883995024869,0.7644872677811037,0.9436587867425653,False,4,27,4,9.594308791178781,1.2251708481787265,1.3333333333333333,2.3399083587182736
5gnidd,0.5,0.75,3,0.6883680316141424,0.12603192659396695,0.10290463715170817,0.5433192773956839,0.7711242558558296,0.9419154392409256,False,4,27,4,9.594308791178781,1.2251708481787265,1.3333333333333333,2.3399083587182736
5gnidd,0.5,1.0,3,0.6923695590578484,0.13914040832229815,0.11360766766404416,0.5317638391349536,0.7764678470758364,0.9423005037244669,True,4,27,4,9.594308791178781,1.2251708481787265,1.3333333333333333,2.3399083587182736
5gnidd,0.75,0.0,3,0.7780936320958092,0.05096339060419691,0.04161143418081097,0.7358123006675059,0.8346812150435289,0.9598578766446005,False,4,27,5,6.308651536045827,0.9162099053779219,1.3333333333333333,1.3846165631331337
5gnidd,0.75,0.25,3,0.7904830018820702,0.05510032325554253,0.04498922554616295,0.7268712905353711,0.8233880652352761,0.9596139786642895,False,4,27,5,6.308651536045827,0.9162099053779219,1.3333333333333333,1.3846165631331337
5gnidd,0.75,0.5,3,0.8090814343293601,0.05873543815277214,0.04795728443103037,0.7416170177371404,0.8488357739260719,0.9592678831536903,True,4,27,5,6.308651536045827,0.9162099053779219,1.3333333333333333,1.3846165631331337
5gnidd,0.75,0.75,3,0.7915299789128217,0.06497400095064636,0.05305104962539758,0.7166684940811491,0.8332548296333613,0.9596244940396749,False,4,27,5,6.308651536045827,0.9162099053779219,1.3333333333333333,1.3846165631331337
5gnidd,0.75,1.0,3,0.8043064619946296,0.05480323650098284,0.04474665522682604,0.7446767781808716,0.852468519962429,0.9600406871348003,False,4,27,5,6.308651536045827,0.9162099053779219,1.3333333333333333,1.3846165631331337
1 dataset alpha beta n_seeds pooled_val_mean pooled_val_std_sample pooled_val_std_pop pooled_val_min pooled_val_max pooled_val_recall selected cells_sj_lt_M_total cells_total missing_client_class_cells_total client_size_ratio_mean support_cv_mean union_unseen_mean mean_displacement_beta1
2 5gnidd 0.5 0.0 3 0.6872301309573783 0.052725844344546816 0.04305047163384996 0.6332434333373904 0.7385974827605487 0.9477370387940001 False 4 27 4 9.594308791178781 1.2251708481787265 1.3333333333333333 2.3399083587182736
3 5gnidd 0.5 0.25 3 0.6450777370820986 0.06474313739822393 0.052862550324183834 0.5737166466423315 0.7000551711341446 0.9468616498164765 False 4 27 4 9.594308791178781 1.2251708481787265 1.3333333333333333 2.3399083587182736
4 5gnidd 0.5 0.5 3 0.6746687817772702 0.10225286523806497 0.08348911485694357 0.5633883995024869 0.7644872677811037 0.9436587867425653 False 4 27 4 9.594308791178781 1.2251708481787265 1.3333333333333333 2.3399083587182736
5 5gnidd 0.5 0.75 3 0.6883680316141424 0.12603192659396695 0.10290463715170817 0.5433192773956839 0.7711242558558296 0.9419154392409256 False 4 27 4 9.594308791178781 1.2251708481787265 1.3333333333333333 2.3399083587182736
6 5gnidd 0.5 1.0 3 0.6923695590578484 0.13914040832229815 0.11360766766404416 0.5317638391349536 0.7764678470758364 0.9423005037244669 True 4 27 4 9.594308791178781 1.2251708481787265 1.3333333333333333 2.3399083587182736
7 5gnidd 0.75 0.0 3 0.7780936320958092 0.05096339060419691 0.04161143418081097 0.7358123006675059 0.8346812150435289 0.9598578766446005 False 4 27 5 6.308651536045827 0.9162099053779219 1.3333333333333333 1.3846165631331337
8 5gnidd 0.75 0.25 3 0.7904830018820702 0.05510032325554253 0.04498922554616295 0.7268712905353711 0.8233880652352761 0.9596139786642895 False 4 27 5 6.308651536045827 0.9162099053779219 1.3333333333333333 1.3846165631331337
9 5gnidd 0.75 0.5 3 0.8090814343293601 0.05873543815277214 0.04795728443103037 0.7416170177371404 0.8488357739260719 0.9592678831536903 True 4 27 5 6.308651536045827 0.9162099053779219 1.3333333333333333 1.3846165631331337
10 5gnidd 0.75 0.75 3 0.7915299789128217 0.06497400095064636 0.05305104962539758 0.7166684940811491 0.8332548296333613 0.9596244940396749 False 4 27 5 6.308651536045827 0.9162099053779219 1.3333333333333333 1.3846165631331337
11 5gnidd 0.75 1.0 3 0.8043064619946296 0.05480323650098284 0.04474665522682604 0.7446767781808716 0.852468519962429 0.9600406871348003 False 4 27 5 6.308651536045827 0.9162099053779219 1.3333333333333333 1.3846165631331337
@@ -0,0 +1,31 @@
dataset,alpha,seed,beta,n_eligible,n_improve,n_degrade,n_unchanged,mean_delta,min_delta,max_delta
5gnidd,0.5,0,0.0,10,0,0,10,0.0,0.0,0.0
5gnidd,0.5,0,0.25,10,2,7,1,-0.07713608929072921,-0.20363636363636362,0.030406580954845275
5gnidd,0.5,0,0.5,10,7,2,1,0.025889785020554917,-0.03433523137896821,0.06985074626865678
5gnidd,0.5,0,0.75,10,5,4,1,0.012063078830364903,-0.06785615288783342,0.07125000000000004
5gnidd,0.5,0,1.0,10,6,3,1,0.030279508202206325,-0.0884443881819511,0.10341347704408088
5gnidd,0.5,1,0.0,10,0,0,10,0.0,0.0,0.0
5gnidd,0.5,1,0.25,10,3,3,4,-0.05952678669505902,-0.32307692307692304,0.01253088893341342
5gnidd,0.5,1,0.5,10,3,5,2,-0.06985503383490366,-0.423076923076923,0.018147843026199484
5gnidd,0.5,1,0.75,10,3,5,2,-0.08992415594170661,-0.548076923076923,0.023966835082264493
5gnidd,0.5,1,1.0,10,3,5,2,-0.10147959420243684,-0.6564102564102563,0.06308143239454578
5gnidd,0.5,2,0.0,10,0,0,10,0.0,0.0,0.0
5gnidd,0.5,2,0.25,10,5,4,1,0.01020569435994877,-0.026210680207824577,0.07260640841702526
5gnidd,0.5,2,0.5,10,5,4,1,0.006281201274024195,-0.04423375396450502,0.07378740970072228
5gnidd,0.5,2,0.75,10,7,2,1,0.08127477908163376,-0.030503434250412576,0.19744802710549003
5gnidd,0.5,2,1.0,10,7,2,1,0.08661837030164057,-0.033724722765818727,0.2015644281090505
5gnidd,0.75,0,0.0,10,0,0,10,0.0,0.0,0.0
5gnidd,0.75,0,0.25,10,5,4,1,-0.011293149808252767,-0.11428571428571432,0.02246687492367061
5gnidd,0.75,0,0.5,10,4,6,0,0.002110296281339108,-0.04342273307790534,0.07435002353424269
5gnidd,0.75,0,0.75,10,4,5,1,-0.010014602019574038,-0.1261904761904763,0.08104016437931305
5gnidd,0.75,0,1.0,10,4,5,1,-0.018907127202940695,-0.1470238095238096,0.08792669889742655
5gnidd,0.75,1,0.0,10,0,0,10,0.0,0.0,0.0
5gnidd,0.75,1,0.25,10,8,0,2,0.057402269299170985,0.0,0.15555555555555545
5gnidd,0.75,1,0.5,10,6,3,1,0.08504839334967931,-0.01717171717171706,0.2666666666666666
5gnidd,0.75,1,0.75,10,6,3,1,0.06946744905696867,-0.02220504036522919,0.23333333333333328
5gnidd,0.75,1,1.0,10,6,3,1,0.08868113938603633,-0.03122327240008249,0.32110579479000534
5gnidd,0.75,2,0.0,10,0,0,10,0.0,0.0,0.0
5gnidd,0.75,2,0.25,10,0,6,4,-0.008941010132134792,-0.022597337621727998,0.0
5gnidd,0.75,2,0.5,10,4,2,4,0.005804717069634502,-0.005379760304999981,0.02370370370370367
5gnidd,0.75,2,0.75,10,1,6,3,-0.019143806586356792,-0.07992013632257533,0.0032679738562091387
5gnidd,0.75,2,1.0,10,4,2,4,0.008864477513365766,-0.007116151507512436,0.03763472261159395
1 dataset alpha seed beta n_eligible n_improve n_degrade n_unchanged mean_delta min_delta max_delta
2 5gnidd 0.5 0 0.0 10 0 0 10 0.0 0.0 0.0
3 5gnidd 0.5 0 0.25 10 2 7 1 -0.07713608929072921 -0.20363636363636362 0.030406580954845275
4 5gnidd 0.5 0 0.5 10 7 2 1 0.025889785020554917 -0.03433523137896821 0.06985074626865678
5 5gnidd 0.5 0 0.75 10 5 4 1 0.012063078830364903 -0.06785615288783342 0.07125000000000004
6 5gnidd 0.5 0 1.0 10 6 3 1 0.030279508202206325 -0.0884443881819511 0.10341347704408088
7 5gnidd 0.5 1 0.0 10 0 0 10 0.0 0.0 0.0
8 5gnidd 0.5 1 0.25 10 3 3 4 -0.05952678669505902 -0.32307692307692304 0.01253088893341342
9 5gnidd 0.5 1 0.5 10 3 5 2 -0.06985503383490366 -0.423076923076923 0.018147843026199484
10 5gnidd 0.5 1 0.75 10 3 5 2 -0.08992415594170661 -0.548076923076923 0.023966835082264493
11 5gnidd 0.5 1 1.0 10 3 5 2 -0.10147959420243684 -0.6564102564102563 0.06308143239454578
12 5gnidd 0.5 2 0.0 10 0 0 10 0.0 0.0 0.0
13 5gnidd 0.5 2 0.25 10 5 4 1 0.01020569435994877 -0.026210680207824577 0.07260640841702526
14 5gnidd 0.5 2 0.5 10 5 4 1 0.006281201274024195 -0.04423375396450502 0.07378740970072228
15 5gnidd 0.5 2 0.75 10 7 2 1 0.08127477908163376 -0.030503434250412576 0.19744802710549003
16 5gnidd 0.5 2 1.0 10 7 2 1 0.08661837030164057 -0.033724722765818727 0.2015644281090505
17 5gnidd 0.75 0 0.0 10 0 0 10 0.0 0.0 0.0
18 5gnidd 0.75 0 0.25 10 5 4 1 -0.011293149808252767 -0.11428571428571432 0.02246687492367061
19 5gnidd 0.75 0 0.5 10 4 6 0 0.002110296281339108 -0.04342273307790534 0.07435002353424269
20 5gnidd 0.75 0 0.75 10 4 5 1 -0.010014602019574038 -0.1261904761904763 0.08104016437931305
21 5gnidd 0.75 0 1.0 10 4 5 1 -0.018907127202940695 -0.1470238095238096 0.08792669889742655
22 5gnidd 0.75 1 0.0 10 0 0 10 0.0 0.0 0.0
23 5gnidd 0.75 1 0.25 10 8 0 2 0.057402269299170985 0.0 0.15555555555555545
24 5gnidd 0.75 1 0.5 10 6 3 1 0.08504839334967931 -0.01717171717171706 0.2666666666666666
25 5gnidd 0.75 1 0.75 10 6 3 1 0.06946744905696867 -0.02220504036522919 0.23333333333333328
26 5gnidd 0.75 1 1.0 10 6 3 1 0.08868113938603633 -0.03122327240008249 0.32110579479000534
27 5gnidd 0.75 2 0.0 10 0 0 10 0.0 0.0 0.0
28 5gnidd 0.75 2 0.25 10 0 6 4 -0.008941010132134792 -0.022597337621727998 0.0
29 5gnidd 0.75 2 0.5 10 4 2 4 0.005804717069634502 -0.005379760304999981 0.02370370370370367
30 5gnidd 0.75 2 0.75 10 1 6 3 -0.019143806586356792 -0.07992013632257533 0.0032679738562091387
31 5gnidd 0.75 2 1.0 10 4 2 4 0.008864477513365766 -0.007116151507512436 0.03763472261159395
@@ -0,0 +1,91 @@
dataset,alpha,class_id,class_name,beta,n_seeds,mean_displacement,std_sample_displacement,mean_relative_displacement
5gnidd,0.5,0,Benign,0.0,3,0.0,0.0,0.0
5gnidd,0.5,0,Benign,0.25,3,0.6924394499491665,0.25819336974901685,0.12106050864023522
5gnidd,0.5,0,Benign,0.5,3,1.1573935905937274,0.451235376777221,0.20253682870439962
5gnidd,0.5,0,Benign,0.75,3,1.4684002610056852,0.5941524621616062,0.2570807639836397
5gnidd,0.5,0,Benign,1.0,3,1.6898663850795066,0.6987889577561244,0.29591075596118094
5gnidd,0.5,1,HTTPFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.5,1,HTTPFlood,0.25,3,1.4366706530612892,0.7801125510422449,0.20048847685733184
5gnidd,0.5,1,HTTPFlood,0.5,3,2.2645040470569993,1.118723459714757,0.31554517952055977
5gnidd,0.5,1,HTTPFlood,0.75,3,2.7642821754539075,1.23608554105204,0.38455224821703754
5gnidd,0.5,1,HTTPFlood,1.0,3,3.120458869697078,1.2894156117591726,0.43348480339644263
5gnidd,0.5,2,ICMPFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.5,2,ICMPFlood,0.25,3,0.3555628814597931,0.08864757157554519,0.0980180248885788
5gnidd,0.5,2,ICMPFlood,0.5,3,0.6436491734691616,0.12567291185049168,0.17745806019635502
5gnidd,0.5,2,ICMPFlood,0.75,3,0.9051224096795911,0.12412577576243336,0.25000543758523164
5gnidd,0.5,2,ICMPFlood,1.0,3,1.1588454233322945,0.09271748323377921,0.32092174099674725
5gnidd,0.5,3,SYNFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.5,3,SYNFlood,0.25,3,0.7634252913575872,0.2365561559741932,0.22023036480092037
5gnidd,0.5,3,SYNFlood,0.5,3,1.3555225237650308,0.38651956106122404,0.39274510539970625
5gnidd,0.5,3,SYNFlood,0.75,3,1.8463593486187282,0.5552481732251574,0.5364892461848328
5gnidd,0.5,3,SYNFlood,1.0,3,2.2617693416611573,0.7483497200280906,0.6584039968772434
5gnidd,0.5,4,SYNScan,0.0,3,0.0,0.0,0.0
5gnidd,0.5,4,SYNScan,0.25,3,1.1964953752969143,0.7190888501596523,0.1657860728250136
5gnidd,0.5,4,SYNScan,0.5,3,1.9741561966806005,0.9868030359110388,0.2728931885841928
5gnidd,0.5,4,SYNScan,0.75,3,2.496547097520008,1.0212461644737705,0.34435693096905234
5gnidd,0.5,4,SYNScan,1.0,3,2.8752781124355127,0.9588449812962653,0.3958823033995225
5gnidd,0.5,5,SlowrateDoS,0.0,3,0.0,0.0,0.0
5gnidd,0.5,5,SlowrateDoS,0.25,3,0.997801071562254,0.2649578156685363,0.1631365927650487
5gnidd,0.5,5,SlowrateDoS,0.5,3,1.797175958686788,0.7491200387637995,0.29454044401486906
5gnidd,0.5,5,SlowrateDoS,0.75,3,2.3804022317598377,1.1828454528049666,0.39062478684001184
5gnidd,0.5,5,SlowrateDoS,1.0,3,2.763430109051773,1.4542368289687693,0.4536612328161466
5gnidd,0.5,6,TCPConnectScan,0.0,3,0.0,0.0,0.0
5gnidd,0.5,6,TCPConnectScan,0.25,3,0.8501532407917821,0.3507746409393188,0.22743340896961892
5gnidd,0.5,6,TCPConnectScan,0.5,3,1.3904168850010705,0.3616355309526342,0.3733627937261271
5gnidd,0.5,6,TCPConnectScan,0.75,3,1.7957146536037598,0.26459627384944995,0.4837335896776706
5gnidd,0.5,6,TCPConnectScan,1.0,3,2.130611279721881,0.21282292441201225,0.5753306009264239
5gnidd,0.5,7,UDPFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.5,7,UDPFlood,0.25,3,0.777407717272936,0.5080940783745169,0.14595132286041448
5gnidd,0.5,7,UDPFlood,0.5,3,1.1554187207442834,0.5423487947664568,0.21691830276203583
5gnidd,0.5,7,UDPFlood,0.75,3,1.4041155454415852,0.4887262105057749,0.26360744744482956
5gnidd,0.5,7,UDPFlood,1.0,3,1.5982465815194804,0.42810184263788215,0.30005165770255965
5gnidd,0.5,8,UDPScan,0.0,3,0.0,0.0,0.0
5gnidd,0.5,8,UDPScan,0.25,3,1.5107220062015905,0.8500253556874384,0.1849390116956374
5gnidd,0.5,8,UDPScan,0.5,3,2.366825135577727,1.3311477326956689,0.2898243509152208
5gnidd,0.5,8,UDPScan,0.75,3,2.968049118076187,1.6895555379249836,0.36365570326173513
5gnidd,0.5,8,UDPScan,1.0,3,3.460669125965779,2.0113615605321216,0.4243985120323746
5gnidd,0.75,0,Benign,0.0,3,0.0,0.0,0.0
5gnidd,0.75,0,Benign,0.25,3,0.3096796159392729,0.12733390390342178,0.05197995403943065
5gnidd,0.75,0,Benign,0.5,3,0.5313041924979508,0.18639783112367184,0.08910009803167558
5gnidd,0.75,0,Benign,0.75,3,0.69629058529007,0.22779495505973918,0.11673890777383779
5gnidd,0.75,0,Benign,1.0,3,0.8242192109522325,0.2718678603634198,0.13820856413319157
5gnidd,0.75,1,HTTPFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.75,1,HTTPFlood,0.25,3,0.4602725694146856,0.18305156058682095,0.05883350276356747
5gnidd,0.75,1,HTTPFlood,0.5,3,0.8310227133930249,0.3411175554968644,0.1064156023196597
5gnidd,0.75,1,HTTPFlood,0.75,3,1.1273671703584032,0.46200313323693143,0.14446682079773532
5gnidd,0.75,1,HTTPFlood,1.0,3,1.3664020721980037,0.5435449017657998,0.17507931126042764
5gnidd,0.75,2,ICMPFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.75,2,ICMPFlood,0.25,3,0.1687900249050803,0.0775079504975022,0.04474379120486107
5gnidd,0.75,2,ICMPFlood,0.5,3,0.34244262249530116,0.1644441365409218,0.0907929477899344
5gnidd,0.75,2,ICMPFlood,0.75,3,0.5139630099006949,0.25295959551882624,0.1363303720843034
5gnidd,0.75,2,ICMPFlood,1.0,3,0.6733630855518974,0.33119344952410124,0.1786782977125397
5gnidd,0.75,3,SYNFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.75,3,SYNFlood,0.25,3,0.6021686056359762,0.11047230421806259,0.17274706399268194
5gnidd,0.75,3,SYNFlood,0.5,3,1.1172146662725975,0.1499636250284683,0.32007952532615175
5gnidd,0.75,3,SYNFlood,0.75,3,1.545644067324437,0.1632736664305707,0.44233653348901675
5gnidd,0.75,3,SYNFlood,1.0,3,1.8966313690365364,0.1707004572307703,0.5423454423708408
5gnidd,0.75,4,SYNScan,0.0,3,0.0,0.0,0.0
5gnidd,0.75,4,SYNScan,0.25,3,0.5317067439232072,0.23047479904803986,0.06779724186081004
5gnidd,0.75,4,SYNScan,0.5,3,0.9655251485202818,0.4123413871043271,0.12306294040142425
5gnidd,0.75,4,SYNScan,0.75,3,1.303724006619192,0.5454960197128634,0.16608620628744505
5gnidd,0.75,4,SYNScan,1.0,3,1.5627721380862394,0.6395395815733285,0.19898769631915747
5gnidd,0.75,5,SlowrateDoS,0.0,3,0.0,0.0,0.0
5gnidd,0.75,5,SlowrateDoS,0.25,3,0.6887407419077284,0.3994937259726447,0.11171643625649925
5gnidd,0.75,5,SlowrateDoS,0.5,3,1.0992104079174394,0.5624209481314455,0.17778704412207272
5gnidd,0.75,5,SlowrateDoS,0.75,3,1.3714335207496207,0.6346805617784063,0.22138467497184797
5gnidd,0.75,5,SlowrateDoS,1.0,3,1.5649187261569397,0.654138365253272,0.2522141838283814
5gnidd,0.75,6,TCPConnectScan,0.0,3,0.0,0.0,0.0
5gnidd,0.75,6,TCPConnectScan,0.25,3,0.42219528894445313,0.19249673581963359,0.11260658758504753
5gnidd,0.75,6,TCPConnectScan,0.5,3,0.7591425183468251,0.33032895727072814,0.20215707803311408
5gnidd,0.75,6,TCPConnectScan,0.75,3,1.021469490355507,0.42067108042237206,0.2716558992474815
5gnidd,0.75,6,TCPConnectScan,1.0,3,1.2260809195578348,0.4757573735353394,0.32576611133643296
5gnidd,0.75,7,UDPFlood,0.0,3,0.0,0.0,0.0
5gnidd,0.75,7,UDPFlood,0.25,3,0.3398776575971591,0.044474647267926964,0.06126083183542604
5gnidd,0.75,7,UDPFlood,0.5,3,0.5882126224252917,0.05110078658105222,0.10602535483597288
5gnidd,0.75,7,UDPFlood,0.75,3,0.7666864532232286,0.06531205542266563,0.13819357681480646
5gnidd,0.75,7,UDPFlood,1.0,3,0.9026363032967967,0.10316225038256528,0.16267861998433658
5gnidd,0.75,8,UDPScan,0.0,3,0.0,0.0,0.0
5gnidd,0.75,8,UDPScan,0.25,3,0.948784374089595,0.32295399221729687,0.11040237913689727
5gnidd,0.75,8,UDPScan,0.5,3,1.6409225519791484,0.45185696586563645,0.19112341897022947
5gnidd,0.75,8,UDPScan,0.75,3,2.1199403852192593,0.4860036627687715,0.24708688296871964
5gnidd,0.75,8,UDPScan,1.0,3,2.444525243361723,0.48441013395931937,0.2850436623074378
1 dataset alpha class_id class_name beta n_seeds mean_displacement std_sample_displacement mean_relative_displacement
2 5gnidd 0.5 0 Benign 0.0 3 0.0 0.0 0.0
3 5gnidd 0.5 0 Benign 0.25 3 0.6924394499491665 0.25819336974901685 0.12106050864023522
4 5gnidd 0.5 0 Benign 0.5 3 1.1573935905937274 0.451235376777221 0.20253682870439962
5 5gnidd 0.5 0 Benign 0.75 3 1.4684002610056852 0.5941524621616062 0.2570807639836397
6 5gnidd 0.5 0 Benign 1.0 3 1.6898663850795066 0.6987889577561244 0.29591075596118094
7 5gnidd 0.5 1 HTTPFlood 0.0 3 0.0 0.0 0.0
8 5gnidd 0.5 1 HTTPFlood 0.25 3 1.4366706530612892 0.7801125510422449 0.20048847685733184
9 5gnidd 0.5 1 HTTPFlood 0.5 3 2.2645040470569993 1.118723459714757 0.31554517952055977
10 5gnidd 0.5 1 HTTPFlood 0.75 3 2.7642821754539075 1.23608554105204 0.38455224821703754
11 5gnidd 0.5 1 HTTPFlood 1.0 3 3.120458869697078 1.2894156117591726 0.43348480339644263
12 5gnidd 0.5 2 ICMPFlood 0.0 3 0.0 0.0 0.0
13 5gnidd 0.5 2 ICMPFlood 0.25 3 0.3555628814597931 0.08864757157554519 0.0980180248885788
14 5gnidd 0.5 2 ICMPFlood 0.5 3 0.6436491734691616 0.12567291185049168 0.17745806019635502
15 5gnidd 0.5 2 ICMPFlood 0.75 3 0.9051224096795911 0.12412577576243336 0.25000543758523164
16 5gnidd 0.5 2 ICMPFlood 1.0 3 1.1588454233322945 0.09271748323377921 0.32092174099674725
17 5gnidd 0.5 3 SYNFlood 0.0 3 0.0 0.0 0.0
18 5gnidd 0.5 3 SYNFlood 0.25 3 0.7634252913575872 0.2365561559741932 0.22023036480092037
19 5gnidd 0.5 3 SYNFlood 0.5 3 1.3555225237650308 0.38651956106122404 0.39274510539970625
20 5gnidd 0.5 3 SYNFlood 0.75 3 1.8463593486187282 0.5552481732251574 0.5364892461848328
21 5gnidd 0.5 3 SYNFlood 1.0 3 2.2617693416611573 0.7483497200280906 0.6584039968772434
22 5gnidd 0.5 4 SYNScan 0.0 3 0.0 0.0 0.0
23 5gnidd 0.5 4 SYNScan 0.25 3 1.1964953752969143 0.7190888501596523 0.1657860728250136
24 5gnidd 0.5 4 SYNScan 0.5 3 1.9741561966806005 0.9868030359110388 0.2728931885841928
25 5gnidd 0.5 4 SYNScan 0.75 3 2.496547097520008 1.0212461644737705 0.34435693096905234
26 5gnidd 0.5 4 SYNScan 1.0 3 2.8752781124355127 0.9588449812962653 0.3958823033995225
27 5gnidd 0.5 5 SlowrateDoS 0.0 3 0.0 0.0 0.0
28 5gnidd 0.5 5 SlowrateDoS 0.25 3 0.997801071562254 0.2649578156685363 0.1631365927650487
29 5gnidd 0.5 5 SlowrateDoS 0.5 3 1.797175958686788 0.7491200387637995 0.29454044401486906
30 5gnidd 0.5 5 SlowrateDoS 0.75 3 2.3804022317598377 1.1828454528049666 0.39062478684001184
31 5gnidd 0.5 5 SlowrateDoS 1.0 3 2.763430109051773 1.4542368289687693 0.4536612328161466
32 5gnidd 0.5 6 TCPConnectScan 0.0 3 0.0 0.0 0.0
33 5gnidd 0.5 6 TCPConnectScan 0.25 3 0.8501532407917821 0.3507746409393188 0.22743340896961892
34 5gnidd 0.5 6 TCPConnectScan 0.5 3 1.3904168850010705 0.3616355309526342 0.3733627937261271
35 5gnidd 0.5 6 TCPConnectScan 0.75 3 1.7957146536037598 0.26459627384944995 0.4837335896776706
36 5gnidd 0.5 6 TCPConnectScan 1.0 3 2.130611279721881 0.21282292441201225 0.5753306009264239
37 5gnidd 0.5 7 UDPFlood 0.0 3 0.0 0.0 0.0
38 5gnidd 0.5 7 UDPFlood 0.25 3 0.777407717272936 0.5080940783745169 0.14595132286041448
39 5gnidd 0.5 7 UDPFlood 0.5 3 1.1554187207442834 0.5423487947664568 0.21691830276203583
40 5gnidd 0.5 7 UDPFlood 0.75 3 1.4041155454415852 0.4887262105057749 0.26360744744482956
41 5gnidd 0.5 7 UDPFlood 1.0 3 1.5982465815194804 0.42810184263788215 0.30005165770255965
42 5gnidd 0.5 8 UDPScan 0.0 3 0.0 0.0 0.0
43 5gnidd 0.5 8 UDPScan 0.25 3 1.5107220062015905 0.8500253556874384 0.1849390116956374
44 5gnidd 0.5 8 UDPScan 0.5 3 2.366825135577727 1.3311477326956689 0.2898243509152208
45 5gnidd 0.5 8 UDPScan 0.75 3 2.968049118076187 1.6895555379249836 0.36365570326173513
46 5gnidd 0.5 8 UDPScan 1.0 3 3.460669125965779 2.0113615605321216 0.4243985120323746
47 5gnidd 0.75 0 Benign 0.0 3 0.0 0.0 0.0
48 5gnidd 0.75 0 Benign 0.25 3 0.3096796159392729 0.12733390390342178 0.05197995403943065
49 5gnidd 0.75 0 Benign 0.5 3 0.5313041924979508 0.18639783112367184 0.08910009803167558
50 5gnidd 0.75 0 Benign 0.75 3 0.69629058529007 0.22779495505973918 0.11673890777383779
51 5gnidd 0.75 0 Benign 1.0 3 0.8242192109522325 0.2718678603634198 0.13820856413319157
52 5gnidd 0.75 1 HTTPFlood 0.0 3 0.0 0.0 0.0
53 5gnidd 0.75 1 HTTPFlood 0.25 3 0.4602725694146856 0.18305156058682095 0.05883350276356747
54 5gnidd 0.75 1 HTTPFlood 0.5 3 0.8310227133930249 0.3411175554968644 0.1064156023196597
55 5gnidd 0.75 1 HTTPFlood 0.75 3 1.1273671703584032 0.46200313323693143 0.14446682079773532
56 5gnidd 0.75 1 HTTPFlood 1.0 3 1.3664020721980037 0.5435449017657998 0.17507931126042764
57 5gnidd 0.75 2 ICMPFlood 0.0 3 0.0 0.0 0.0
58 5gnidd 0.75 2 ICMPFlood 0.25 3 0.1687900249050803 0.0775079504975022 0.04474379120486107
59 5gnidd 0.75 2 ICMPFlood 0.5 3 0.34244262249530116 0.1644441365409218 0.0907929477899344
60 5gnidd 0.75 2 ICMPFlood 0.75 3 0.5139630099006949 0.25295959551882624 0.1363303720843034
61 5gnidd 0.75 2 ICMPFlood 1.0 3 0.6733630855518974 0.33119344952410124 0.1786782977125397
62 5gnidd 0.75 3 SYNFlood 0.0 3 0.0 0.0 0.0
63 5gnidd 0.75 3 SYNFlood 0.25 3 0.6021686056359762 0.11047230421806259 0.17274706399268194
64 5gnidd 0.75 3 SYNFlood 0.5 3 1.1172146662725975 0.1499636250284683 0.32007952532615175
65 5gnidd 0.75 3 SYNFlood 0.75 3 1.545644067324437 0.1632736664305707 0.44233653348901675
66 5gnidd 0.75 3 SYNFlood 1.0 3 1.8966313690365364 0.1707004572307703 0.5423454423708408
67 5gnidd 0.75 4 SYNScan 0.0 3 0.0 0.0 0.0
68 5gnidd 0.75 4 SYNScan 0.25 3 0.5317067439232072 0.23047479904803986 0.06779724186081004
69 5gnidd 0.75 4 SYNScan 0.5 3 0.9655251485202818 0.4123413871043271 0.12306294040142425
70 5gnidd 0.75 4 SYNScan 0.75 3 1.303724006619192 0.5454960197128634 0.16608620628744505
71 5gnidd 0.75 4 SYNScan 1.0 3 1.5627721380862394 0.6395395815733285 0.19898769631915747
72 5gnidd 0.75 5 SlowrateDoS 0.0 3 0.0 0.0 0.0
73 5gnidd 0.75 5 SlowrateDoS 0.25 3 0.6887407419077284 0.3994937259726447 0.11171643625649925
74 5gnidd 0.75 5 SlowrateDoS 0.5 3 1.0992104079174394 0.5624209481314455 0.17778704412207272
75 5gnidd 0.75 5 SlowrateDoS 0.75 3 1.3714335207496207 0.6346805617784063 0.22138467497184797
76 5gnidd 0.75 5 SlowrateDoS 1.0 3 1.5649187261569397 0.654138365253272 0.2522141838283814
77 5gnidd 0.75 6 TCPConnectScan 0.0 3 0.0 0.0 0.0
78 5gnidd 0.75 6 TCPConnectScan 0.25 3 0.42219528894445313 0.19249673581963359 0.11260658758504753
79 5gnidd 0.75 6 TCPConnectScan 0.5 3 0.7591425183468251 0.33032895727072814 0.20215707803311408
80 5gnidd 0.75 6 TCPConnectScan 0.75 3 1.021469490355507 0.42067108042237206 0.2716558992474815
81 5gnidd 0.75 6 TCPConnectScan 1.0 3 1.2260809195578348 0.4757573735353394 0.32576611133643296
82 5gnidd 0.75 7 UDPFlood 0.0 3 0.0 0.0 0.0
83 5gnidd 0.75 7 UDPFlood 0.25 3 0.3398776575971591 0.044474647267926964 0.06126083183542604
84 5gnidd 0.75 7 UDPFlood 0.5 3 0.5882126224252917 0.05110078658105222 0.10602535483597288
85 5gnidd 0.75 7 UDPFlood 0.75 3 0.7666864532232286 0.06531205542266563 0.13819357681480646
86 5gnidd 0.75 7 UDPFlood 1.0 3 0.9026363032967967 0.10316225038256528 0.16267861998433658
87 5gnidd 0.75 8 UDPScan 0.0 3 0.0 0.0 0.0
88 5gnidd 0.75 8 UDPScan 0.25 3 0.948784374089595 0.32295399221729687 0.11040237913689727
89 5gnidd 0.75 8 UDPScan 0.5 3 1.6409225519791484 0.45185696586563645 0.19112341897022947
90 5gnidd 0.75 8 UDPScan 0.75 3 2.1199403852192593 0.4860036627687715 0.24708688296871964
91 5gnidd 0.75 8 UDPScan 1.0 3 2.444525243361723 0.48441013395931937 0.2850436623074378
@@ -0,0 +1,56 @@
{
"alphas": {
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"cells_total": 27,
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"0.75": {
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},
"betas": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"dataset": "5gnidd"
}
@@ -0,0 +1,205 @@
{
"alphas": [
0.5,
0.75
],
"dataset": "5gnidd",
"per_class": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_per_class.csv",
"per_seed": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_per_seed.csv",
"per_seed_rows": [
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"num_classes": 9,
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"partition_hash": "fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c",
"rng_seed": 1817661572,
"seed": 1,
"split_hash": "3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e",
"support_cv_max": 1.103376116305731,
"support_cv_mean": 0.8540793111089487,
"support_max_min_ratio_max": 545.4,
"union_rare_count": 6,
"union_unseen_count": 2
},
{
"alpha": 0.75,
"client_size_max": 191908,
"client_size_min": 49537,
"client_size_ratio": 3.87403355067929,
"dataset": "5gnidd",
"manifest_content_hash": "3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d",
"max_unseen_on_client": 0,
"n_cells_sj_lt_M": 0,
"n_class_condition_cells": 9,
"n_clients_2_rare": 10,
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"nij_sum": 851123,
"num_classes": 9,
"num_clients": 10,
"num_train": 851123,
"partition_hash": "4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86",
"rng_seed": 306220443,
"seed": 2,
"split_hash": "fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f",
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"support_max_min_ratio_max": 445.0,
"union_rare_count": 6,
"union_unseen_count": 0
}
],
"seeds": [
0,
1,
2
],
"summary": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_summary.csv",
"summary_rows": [
{
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"cells_sj_lt_M_total": 4,
"cells_total": 27,
"client_size_ratio_max": 12.717827450589933,
"client_size_ratio_mean": 9.594308791178781,
"dataset": "5gnidd",
"max_unseen_on_client": 1,
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{
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"dataset": "5gnidd",
"max_unseen_on_client": 1,
"missing_client_class_cells_total": 5,
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}
@@ -0,0 +1,55 @@
dataset,alpha,seed,class_id,class_name,total,num_clients,n_missing_clients,min,max,mean,std,cv,max_min_ratio
5gnidd,0.5,0,0,Benign,334415,10,0,226,108257,33441.5,35759.58709842718,1.0693176770906563,479.0132743362832
5gnidd,0.5,0,1,HTTPFlood,98569,10,0,185,61393,9856.9,17538.944828295687,1.7793570826827592,331.8540540540541
5gnidd,0.5,0,2,ICMPFlood,808,9,1,8,243,89.77777777777777,72.6342095369787,0.8090444131594163,30.375
5gnidd,0.5,0,3,SYNFlood,6805,9,1,2,3250,756.1111111111111,996.1904597509281,1.3175186095162899,1625.0
5gnidd,0.5,0,4,SYNScan,14030,10,0,11,6713,1403.0,1984.1221232575379,1.4141996601978175,610.2727272727273
5gnidd,0.5,0,5,SlowrateDoS,51187,10,0,80,28363,5118.7,9127.314238591767,1.7831313104092381,354.5375
5gnidd,0.5,0,6,TCPConnectScan,14037,10,0,1,4175,1403.7,1379.0263993122105,0.9824224544505311,4175.0
5gnidd,0.5,0,7,UDPFlood,320138,10,0,1,88943,32013.8,28692.11713624493,0.8962421560778455,88943.0
5gnidd,0.5,0,8,UDPScan,11134,10,0,14,3420,1113.4,1075.9248300880504,0.9663416832118289,244.28571428571428
5gnidd,0.5,1,0,Benign,334415,10,0,803,104938,33441.5,31374.111025652983,0.938178940108936,130.68244084682442
5gnidd,0.5,1,1,HTTPFlood,98569,10,0,51,36928,9856.9,10966.810999100877,1.1126024408384865,724.0784313725491
5gnidd,0.5,1,2,ICMPFlood,808,10,0,8,284,80.8,81.98999939016953,1.0147277152248704,35.5
5gnidd,0.5,1,3,SYNFlood,6805,10,0,26,2093,680.5,611.6053057323816,0.8987587152569898,80.5
5gnidd,0.5,1,4,SYNScan,14030,10,0,259,3621,1403.0,1206.1257811687801,0.8596762517240057,13.980694980694981
5gnidd,0.5,1,5,SlowrateDoS,51187,10,0,26,16089,5118.7,5007.844267746353,0.978342990944254,618.8076923076923
5gnidd,0.5,1,6,TCPConnectScan,14037,10,0,3,7188,1403.7,2021.4343447166423,1.4400757602882683,2396.0
5gnidd,0.5,1,7,UDPFlood,320138,10,0,1907,95125,32013.8,26741.87702761345,0.8353234238863693,49.88201363398007
5gnidd,0.5,1,8,UDPScan,11134,10,0,1,5065,1113.4,1534.664666954967,1.3783587811702596,5065.0
5gnidd,0.5,2,0,Benign,334415,10,0,255,225038,33441.5,65682.05261294747,1.9640881124634801,882.5019607843137
5gnidd,0.5,2,1,HTTPFlood,98569,10,0,24,48351,9856.9,15173.43130903488,1.539371537606639,2014.625
5gnidd,0.5,2,2,ICMPFlood,808,10,0,1,358,80.8,99.01595830975934,1.2254450285861305,358.0
5gnidd,0.5,2,3,SYNFlood,6805,10,0,8,3530,680.5,1008.8978392285316,1.4825831583079083,441.25
5gnidd,0.5,2,4,SYNScan,14030,10,0,5,4830,1403.0,1611.374444379704,1.1485206303490407,966.0
5gnidd,0.5,2,5,SlowrateDoS,51187,10,0,104,17642,5118.7,5260.9995827789235,1.0277999458415072,169.6346153846154
5gnidd,0.5,2,6,TCPConnectScan,14037,9,1,125,6952,1559.6666666666667,1980.5227143918905,1.2698371752886666,55.616
5gnidd,0.5,2,7,UDPFlood,320138,10,0,105,138381,32013.8,41299.88736497958,1.290065139564175,1317.9142857142858
5gnidd,0.5,2,8,UDPScan,11134,9,1,2,6727,1237.111111111111,2051.479219405919,1.6582821065792412,3363.5
5gnidd,0.75,0,0,Benign,334415,10,0,1410,69384,33441.5,23619.248452268755,0.706285556935806,49.208510638297874
5gnidd,0.75,0,1,HTTPFlood,98569,10,0,557,27843,9856.9,9709.981765688337,0.9850948843640838,49.987432675044886
5gnidd,0.75,0,2,ICMPFlood,808,8,2,25,239,101.0,62.930517239253646,0.6230744281114222,9.56
5gnidd,0.75,0,3,SYNFlood,6805,9,1,26,3213,756.1111111111111,956.5878532511555,1.2651419073123291,123.57692307692308
5gnidd,0.75,0,4,SYNScan,14030,10,0,82,4335,1403.0,1341.5857035612746,0.9562264458740375,52.86585365853659
5gnidd,0.75,0,5,SlowrateDoS,51187,10,0,2,15285,5118.7,5679.8754748673855,1.109632421292005,7642.5
5gnidd,0.75,0,6,TCPConnectScan,14037,10,0,52,3531,1403.7,1167.4861926378403,0.8317205903240296,67.90384615384616
5gnidd,0.75,0,7,UDPFlood,320138,10,0,2320,124158,32013.8,36460.358401420024,1.1388950515533933,53.516379310344824
5gnidd,0.75,0,8,UDPScan,11134,10,0,74,3370,1113.4,1232.7077674777586,1.1071562488573365,45.54054054054054
5gnidd,0.75,1,0,Benign,334415,10,0,3896,83388,33441.5,30605.998007743514,0.9152100835113112,21.403490759753595
5gnidd,0.75,1,1,HTTPFlood,98569,10,0,621,25248,9856.9,6960.070365305224,0.7061114919807672,40.65700483091788
5gnidd,0.75,1,2,ICMPFlood,808,9,1,15,285,89.77777777777777,99.0586557750034,1.103376116305731,19.0
5gnidd,0.75,1,3,SYNFlood,6805,10,0,57,2358,680.5,692.489025183793,1.0176179650019002,41.36842105263158
5gnidd,0.75,1,4,SYNScan,14030,9,1,133,3883,1558.888888888889,1236.704172337323,0.7933241305086177,29.195488721804512
5gnidd,0.75,1,5,SlowrateDoS,51187,10,0,514,12114,5118.7,3205.4039698608976,0.6262144626293585,23.56809338521401
5gnidd,0.75,1,6,TCPConnectScan,14037,10,0,326,2861,1403.7,788.4842484159084,0.5617184928516836,8.776073619631902
5gnidd,0.75,1,7,UDPFlood,320138,10,0,1031,114825,32013.8,33884.0853050514,1.0584212216310278,111.37245392822503
5gnidd,0.75,1,8,UDPScan,11134,10,0,5,2727,1113.4,1007.3150649126618,0.9047198355601417,545.4
5gnidd,0.75,2,0,Benign,334415,10,0,536,118638,33441.5,34208.390085620806,1.0229322872963476,221.33955223880596
5gnidd,0.75,2,1,HTTPFlood,98569,10,0,1484,25410,9856.9,6717.955514142677,0.6815485106009675,17.12264150943396
5gnidd,0.75,2,2,ICMPFlood,808,10,0,1,270,80.8,93.3892927481518,1.1558080785662352,270.0
5gnidd,0.75,2,3,SYNFlood,6805,10,0,6,2670,680.5,810.6782654049632,1.1912979653269113,445.0
5gnidd,0.75,2,4,SYNScan,14030,10,0,91,4022,1403.0,1290.3725818537837,0.9197238644716919,44.1978021978022
5gnidd,0.75,2,5,SlowrateDoS,51187,10,0,99,18020,5118.7,4987.431263686748,0.9743550635291672,182.02020202020202
5gnidd,0.75,2,6,TCPConnectScan,14037,10,0,84,3335,1403.7,1073.5125569829167,0.7647734964614353,39.70238095238095
5gnidd,0.75,2,7,UDPFlood,320138,10,0,2637,63416,32013.8,21351.952298560427,0.6669608824494571,24.048540007584375
5gnidd,0.75,2,8,UDPScan,11134,10,0,37,3282,1113.4,1058.092925975786,0.9503259618967003,88.70270270270271
1 dataset alpha seed class_id class_name total num_clients n_missing_clients min max mean std cv max_min_ratio
2 5gnidd 0.5 0 0 Benign 334415 10 0 226 108257 33441.5 35759.58709842718 1.0693176770906563 479.0132743362832
3 5gnidd 0.5 0 1 HTTPFlood 98569 10 0 185 61393 9856.9 17538.944828295687 1.7793570826827592 331.8540540540541
4 5gnidd 0.5 0 2 ICMPFlood 808 9 1 8 243 89.77777777777777 72.6342095369787 0.8090444131594163 30.375
5 5gnidd 0.5 0 3 SYNFlood 6805 9 1 2 3250 756.1111111111111 996.1904597509281 1.3175186095162899 1625.0
6 5gnidd 0.5 0 4 SYNScan 14030 10 0 11 6713 1403.0 1984.1221232575379 1.4141996601978175 610.2727272727273
7 5gnidd 0.5 0 5 SlowrateDoS 51187 10 0 80 28363 5118.7 9127.314238591767 1.7831313104092381 354.5375
8 5gnidd 0.5 0 6 TCPConnectScan 14037 10 0 1 4175 1403.7 1379.0263993122105 0.9824224544505311 4175.0
9 5gnidd 0.5 0 7 UDPFlood 320138 10 0 1 88943 32013.8 28692.11713624493 0.8962421560778455 88943.0
10 5gnidd 0.5 0 8 UDPScan 11134 10 0 14 3420 1113.4 1075.9248300880504 0.9663416832118289 244.28571428571428
11 5gnidd 0.5 1 0 Benign 334415 10 0 803 104938 33441.5 31374.111025652983 0.938178940108936 130.68244084682442
12 5gnidd 0.5 1 1 HTTPFlood 98569 10 0 51 36928 9856.9 10966.810999100877 1.1126024408384865 724.0784313725491
13 5gnidd 0.5 1 2 ICMPFlood 808 10 0 8 284 80.8 81.98999939016953 1.0147277152248704 35.5
14 5gnidd 0.5 1 3 SYNFlood 6805 10 0 26 2093 680.5 611.6053057323816 0.8987587152569898 80.5
15 5gnidd 0.5 1 4 SYNScan 14030 10 0 259 3621 1403.0 1206.1257811687801 0.8596762517240057 13.980694980694981
16 5gnidd 0.5 1 5 SlowrateDoS 51187 10 0 26 16089 5118.7 5007.844267746353 0.978342990944254 618.8076923076923
17 5gnidd 0.5 1 6 TCPConnectScan 14037 10 0 3 7188 1403.7 2021.4343447166423 1.4400757602882683 2396.0
18 5gnidd 0.5 1 7 UDPFlood 320138 10 0 1907 95125 32013.8 26741.87702761345 0.8353234238863693 49.88201363398007
19 5gnidd 0.5 1 8 UDPScan 11134 10 0 1 5065 1113.4 1534.664666954967 1.3783587811702596 5065.0
20 5gnidd 0.5 2 0 Benign 334415 10 0 255 225038 33441.5 65682.05261294747 1.9640881124634801 882.5019607843137
21 5gnidd 0.5 2 1 HTTPFlood 98569 10 0 24 48351 9856.9 15173.43130903488 1.539371537606639 2014.625
22 5gnidd 0.5 2 2 ICMPFlood 808 10 0 1 358 80.8 99.01595830975934 1.2254450285861305 358.0
23 5gnidd 0.5 2 3 SYNFlood 6805 10 0 8 3530 680.5 1008.8978392285316 1.4825831583079083 441.25
24 5gnidd 0.5 2 4 SYNScan 14030 10 0 5 4830 1403.0 1611.374444379704 1.1485206303490407 966.0
25 5gnidd 0.5 2 5 SlowrateDoS 51187 10 0 104 17642 5118.7 5260.9995827789235 1.0277999458415072 169.6346153846154
26 5gnidd 0.5 2 6 TCPConnectScan 14037 9 1 125 6952 1559.6666666666667 1980.5227143918905 1.2698371752886666 55.616
27 5gnidd 0.5 2 7 UDPFlood 320138 10 0 105 138381 32013.8 41299.88736497958 1.290065139564175 1317.9142857142858
28 5gnidd 0.5 2 8 UDPScan 11134 9 1 2 6727 1237.111111111111 2051.479219405919 1.6582821065792412 3363.5
29 5gnidd 0.75 0 0 Benign 334415 10 0 1410 69384 33441.5 23619.248452268755 0.706285556935806 49.208510638297874
30 5gnidd 0.75 0 1 HTTPFlood 98569 10 0 557 27843 9856.9 9709.981765688337 0.9850948843640838 49.987432675044886
31 5gnidd 0.75 0 2 ICMPFlood 808 8 2 25 239 101.0 62.930517239253646 0.6230744281114222 9.56
32 5gnidd 0.75 0 3 SYNFlood 6805 9 1 26 3213 756.1111111111111 956.5878532511555 1.2651419073123291 123.57692307692308
33 5gnidd 0.75 0 4 SYNScan 14030 10 0 82 4335 1403.0 1341.5857035612746 0.9562264458740375 52.86585365853659
34 5gnidd 0.75 0 5 SlowrateDoS 51187 10 0 2 15285 5118.7 5679.8754748673855 1.109632421292005 7642.5
35 5gnidd 0.75 0 6 TCPConnectScan 14037 10 0 52 3531 1403.7 1167.4861926378403 0.8317205903240296 67.90384615384616
36 5gnidd 0.75 0 7 UDPFlood 320138 10 0 2320 124158 32013.8 36460.358401420024 1.1388950515533933 53.516379310344824
37 5gnidd 0.75 0 8 UDPScan 11134 10 0 74 3370 1113.4 1232.7077674777586 1.1071562488573365 45.54054054054054
38 5gnidd 0.75 1 0 Benign 334415 10 0 3896 83388 33441.5 30605.998007743514 0.9152100835113112 21.403490759753595
39 5gnidd 0.75 1 1 HTTPFlood 98569 10 0 621 25248 9856.9 6960.070365305224 0.7061114919807672 40.65700483091788
40 5gnidd 0.75 1 2 ICMPFlood 808 9 1 15 285 89.77777777777777 99.0586557750034 1.103376116305731 19.0
41 5gnidd 0.75 1 3 SYNFlood 6805 10 0 57 2358 680.5 692.489025183793 1.0176179650019002 41.36842105263158
42 5gnidd 0.75 1 4 SYNScan 14030 9 1 133 3883 1558.888888888889 1236.704172337323 0.7933241305086177 29.195488721804512
43 5gnidd 0.75 1 5 SlowrateDoS 51187 10 0 514 12114 5118.7 3205.4039698608976 0.6262144626293585 23.56809338521401
44 5gnidd 0.75 1 6 TCPConnectScan 14037 10 0 326 2861 1403.7 788.4842484159084 0.5617184928516836 8.776073619631902
45 5gnidd 0.75 1 7 UDPFlood 320138 10 0 1031 114825 32013.8 33884.0853050514 1.0584212216310278 111.37245392822503
46 5gnidd 0.75 1 8 UDPScan 11134 10 0 5 2727 1113.4 1007.3150649126618 0.9047198355601417 545.4
47 5gnidd 0.75 2 0 Benign 334415 10 0 536 118638 33441.5 34208.390085620806 1.0229322872963476 221.33955223880596
48 5gnidd 0.75 2 1 HTTPFlood 98569 10 0 1484 25410 9856.9 6717.955514142677 0.6815485106009675 17.12264150943396
49 5gnidd 0.75 2 2 ICMPFlood 808 10 0 1 270 80.8 93.3892927481518 1.1558080785662352 270.0
50 5gnidd 0.75 2 3 SYNFlood 6805 10 0 6 2670 680.5 810.6782654049632 1.1912979653269113 445.0
51 5gnidd 0.75 2 4 SYNScan 14030 10 0 91 4022 1403.0 1290.3725818537837 0.9197238644716919 44.1978021978022
52 5gnidd 0.75 2 5 SlowrateDoS 51187 10 0 99 18020 5118.7 4987.431263686748 0.9743550635291672 182.02020202020202
53 5gnidd 0.75 2 6 TCPConnectScan 14037 10 0 84 3335 1403.7 1073.5125569829167 0.7647734964614353 39.70238095238095
54 5gnidd 0.75 2 7 UDPFlood 320138 10 0 2637 63416 32013.8 21351.952298560427 0.6669608824494571 24.048540007584375
55 5gnidd 0.75 2 8 UDPScan 11134 10 0 37 3282 1113.4 1058.092925975786 0.9503259618967003 88.70270270270271
@@ -0,0 +1,7 @@
dataset,alpha,seed,num_clients,num_classes,num_train,nij_sum,n_class_condition_cells,n_cells_sj_lt_M,n_missing_client_class_cells,client_size_min,client_size_max,client_size_ratio,union_rare_count,union_unseen_count,max_unseen_on_client,n_clients_2_rare,support_cv_mean,support_cv_max,support_max_min_ratio_max,manifest_content_hash,partition_hash,split_hash,rng_seed
5gnidd,0.5,0,10,9,851123,851123,9,2,2,15388,178993,11.631985963088121,6,2,1,10,1.224175005199598,1.7831313104092381,88943.0,0732582cf4510089212717816d2151f5706c7b361123be32cc353bdf4b7f78e6,8352d4ff0e33f246a22da8516812bf8ff3ddbdecb6a6435fbcf08e9edcf989ab,18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7,673621352
5gnidd,0.5,1,10,9,851123,851123,9,0,0,31613,140144,4.433112959858287,5,0,0,10,1.0506716688269377,1.4400757602882683,5065.0,f43906e111a8342c102237fe21090b64cadcc6e94c77db0deee1497e87e86801,0815c91ed82fe7e1502a49fa1de050fea9d5b037d051a0c3fb900d3a0f7bfa08,3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e,1403944623
5gnidd,0.5,2,10,9,851123,851123,9,2,2,20087,255463,12.717827450589933,6,2,1,10,1.4006658705096433,1.9640881124634801,3363.5,fe8b4fc6f0486cf4fadf97ea0e096e8c7439fadb1f4e747336313b3bfd52d023,fdcf388e31658ae11a6068e9dc2c6f27ef1567ecce60855efe6d8e3dc75cebf6,fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f,633461056
5gnidd,0.75,0,10,9,851123,851123,9,2,3,38839,143547,3.6959499472180024,6,2,1,10,0.9692475038471602,1.2651419073123291,7642.5,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8,18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7,892370747
5gnidd,0.75,1,10,9,851123,851123,9,2,2,17861,202829,11.355971110240189,6,2,1,10,0.8540793111089487,1.103376116305731,545.4,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c,3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e,1817661572
5gnidd,0.75,2,10,9,851123,851123,9,0,0,49537,191908,3.87403355067929,6,0,0,10,0.925302901177657,1.1912979653269113,445.0,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86,fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f,306220443
1 dataset alpha seed num_clients num_classes num_train nij_sum n_class_condition_cells n_cells_sj_lt_M n_missing_client_class_cells client_size_min client_size_max client_size_ratio union_rare_count union_unseen_count max_unseen_on_client n_clients_2_rare support_cv_mean support_cv_max support_max_min_ratio_max manifest_content_hash partition_hash split_hash rng_seed
2 5gnidd 0.5 0 10 9 851123 851123 9 2 2 15388 178993 11.631985963088121 6 2 1 10 1.224175005199598 1.7831313104092381 88943.0 0732582cf4510089212717816d2151f5706c7b361123be32cc353bdf4b7f78e6 8352d4ff0e33f246a22da8516812bf8ff3ddbdecb6a6435fbcf08e9edcf989ab 18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7 673621352
3 5gnidd 0.5 1 10 9 851123 851123 9 0 0 31613 140144 4.433112959858287 5 0 0 10 1.0506716688269377 1.4400757602882683 5065.0 f43906e111a8342c102237fe21090b64cadcc6e94c77db0deee1497e87e86801 0815c91ed82fe7e1502a49fa1de050fea9d5b037d051a0c3fb900d3a0f7bfa08 3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e 1403944623
4 5gnidd 0.5 2 10 9 851123 851123 9 2 2 20087 255463 12.717827450589933 6 2 1 10 1.4006658705096433 1.9640881124634801 3363.5 fe8b4fc6f0486cf4fadf97ea0e096e8c7439fadb1f4e747336313b3bfd52d023 fdcf388e31658ae11a6068e9dc2c6f27ef1567ecce60855efe6d8e3dc75cebf6 fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f 633461056
5 5gnidd 0.75 0 10 9 851123 851123 9 2 3 38839 143547 3.6959499472180024 6 2 1 10 0.9692475038471602 1.2651419073123291 7642.5 96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5 74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8 18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7 892370747
6 5gnidd 0.75 1 10 9 851123 851123 9 2 2 17861 202829 11.355971110240189 6 2 1 10 0.8540793111089487 1.103376116305731 545.4 007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3 fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c 3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e 1817661572
7 5gnidd 0.75 2 10 9 851123 851123 9 0 0 49537 191908 3.87403355067929 6 0 0 10 0.925302901177657 1.1912979653269113 445.0 3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d 4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86 fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f 306220443
@@ -0,0 +1,3 @@
dataset,alpha,n_seeds,cells_sj_lt_M_total,cells_total,missing_client_class_cells_total,client_size_ratio_mean,client_size_ratio_max,union_unseen_mean,max_unseen_on_client,union_rare_mean,support_cv_mean,support_max_min_ratio_max
5gnidd,0.5,3,4,27,4,9.594308791178781,12.717827450589933,1.3333333333333333,1,5.666666666666667,1.2251708481787265,88943.0
5gnidd,0.75,3,4,27,5,6.308651536045827,11.355971110240189,1.3333333333333333,1,6.0,0.9162099053779219,7642.5
1 dataset alpha n_seeds cells_sj_lt_M_total cells_total missing_client_class_cells_total client_size_ratio_mean client_size_ratio_max union_unseen_mean max_unseen_on_client union_rare_mean support_cv_mean support_max_min_ratio_max
2 5gnidd 0.5 3 4 27 4 9.594308791178781 12.717827450589933 1.3333333333333333 1 5.666666666666667 1.2251708481787265 88943.0
3 5gnidd 0.75 3 4 27 5 6.308651536045827 11.355971110240189 1.3333333333333333 1 6.0 0.9162099053779219 7642.5
+189 -189
View File
@@ -3,26 +3,26 @@
This is the canonical continuation point for the next agent session. It is written to be
readable without prior chat history, terminal scrollback, or git history.
Last updated: 2026-09-28 (Session 9). Session 9 type: **first cross-dataset (5G-NIDD)
beta-validation condition**. Sessions 6–8 completed the X-IIoTID three-alpha study
(`alpha=0.25/0.50/0.75`, seeds `{0,1,2}`). Session 9 ran **only** 5G-NIDD `alpha=0.50` for seeds
`{0,1,2}` across the five frozen beta candidates plus `original_protean`, using the same
pooled-across-seed validation-only selection rule. **5G-NIDD alpha=0.25 and alpha=0.75 were NOT
run.** No commit or push was made.
Last updated: 2026-09-29 (Session 10). Session 10 type: **second 5G-NIDD beta-validation
condition**. Sessions 6–8 completed the X-IIoTID three-alpha study (`alpha=0.25/0.50/0.75`,
seeds `{0,1,2}`); Session 9 ran 5G-NIDD `alpha=0.50` for seeds `{0,1,2}`. Session 10 ran **only**
5G-NIDD `alpha=0.75` for seeds `{0,1,2}` across the five frozen beta candidates plus
`original_protean`, using the same pooled-across-seed validation-only selection rule.
**5G-NIDD alpha=0.25 was NOT run.** No commit or push was made.
> **Audit status (Session 9).** Independent audit verdict: **PASS**
> (`docs/research/SESSION9_AUDIT.md`). `beta_star(5gnidd, alpha=0.50) = 1.00` confirmed from
> validation only; reuse decision resolved; run inventory 18/18; pairing hash-identical and
> reproduced from raw data; rare/unseen 0 mismatches over 270 cells; leakage audit PASS; `beta=0`
> class **B**; source/data integrity PASS; pytest 75 passed. **Session 9 is safe to checkpoint.**
> **Audit status (Session 10).** Independent audit verdict: **PASS**
> (`docs/research/SESSION10_AUDIT.md`). `beta_star(5gnidd, alpha=0.75) = 0.50` confirmed from
> validation only; run inventory 18/18; pairing hash-identical and reproduced from raw data;
> rare/unseen 0 mismatches over 1,620 cells; leakage audit PASS; `beta=0` class **B**; source/data
> integrity PASS; pytest 75 passed. **Session 10 is safe to checkpoint.**
> **Headline (Session 9).** PRIMARY pooled-validation selected beta for 5G-NIDD `alpha=0.50` =
> **1.00** (validation only; per-seed diagnostics 1.00 / 0.00 / 1.00). The pooled validation curve
> is **non-monotone** (0.687 → 0.645 → 0.675 → 0.688 → 0.692) and the total between-beta spread
> (≈ 0.047) is comparable to the between-seed std (0.053–0.139), so the selection is statistically
> weak. `beta=0` is class **B** for all three seeds. The pre-existing seed-0 baseline was **not
> reused** (missing validation artifacts); the fresh rerun reproduces its training outputs
> byte-identically. X-IIoTID alpha=0.50 selected 0.75; the two datasets differ descriptively.
> **Headline (Session 10).** PRIMARY pooled-validation selected beta for 5G-NIDD `alpha=0.75` =
> **0.50** (validation only; per-seed diagnostics 0.50 / 1.00 / 1.00). The pooled validation curve
> is **non-monotone** (0.778 → 0.790 → 0.809 → 0.792 → 0.804) and the total between-beta spread
> (≈ 0.031) is smaller than the between-seed std (0.051–0.065), so the selection is statistically
> weak. `beta=0` is class **B** for all three seeds. At alpha=0.75 the rare-class union is
> **identical across seeds** and realized support imbalance is lower than at alpha=0.50, yet the
> number of `|S_j|<M` cells is unchanged (4/27) and missing cells are slightly higher (5 vs 4).
---
@@ -55,39 +55,40 @@ bitwise identical to the baseline (see §7).
`7b9290057ee42e784da3c0d84b781815502c9205c74175c96374e71a5ffd98a0`.
- Frozen baseline (`original_protean`) source unchanged; no `equal_available` mode added; beta
candidate set unchanged (`{0, .25, .5, .75, 1}`). No tracked source/test/config file differs
from HEAD. The only modified tracked file is this handoff.
from HEAD. The only new tracked-class file candidates are the new docs/artifacts listed in §16.
## 3. Session 9 objective and outcome
## 3. Session 10 objective and outcome
Objective: begin the 5G-NIDD phase conservatively — Stage A verification, then (if clean) **one**
condition: 5G-NIDD `alpha=0.50`, seeds `{0,1,2}`, `original_protean` + five betas.
Objective: run exactly **one** new condition — 5G-NIDD `alpha=0.75`, seeds `{0,1,2}`,
`original_protean` + five betas — after a Stage-A verification gate. Do not run alpha=0.25, do not
launch the grid, do not change methodology.
Stage A result: raw hash valid; all nine 5G-NIDD manifests (alpha 0.25/0.50/0.75 × seeds) reproduce
exactly from raw data; label semantics and rare/unseen logic valid; pre-existing seed-0 baseline
not reusable. Gate = **GO**.
Stage A result: raw hash valid; all three 5G-NIDD `alpha=0.75` manifests reproduce exactly from raw
data (support match, partition-hash match); label semantics and rare/unseen logic valid; pairing
framework valid. Gate = **GO**.
Outcome: 18/18 runs rc=0. **PRIMARY pooled-validation selected beta = 1.00** (validation only);
`test_used_for_selection = false` for all 15 runs. Pooled means: 0.00 → 0.687230,
0.25 → 0.645078, 0.50 → 0.674669, 0.75 → 0.688368, 1.00 → 0.692370. Reports:
`docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md`, audit `docs/research/SESSION9_AUDIT.md`.
Outcome: 18/18 runs rc=0. **PRIMARY pooled-validation selected beta = 0.50** (validation only);
`test_used_for_selection = false` for all 15 runs. Pooled means: 0.00 → 0.778094, 0.25 → 0.790483,
0.50 → 0.809081, 0.75 → 0.791530, 1.00 → 0.804306. Reports:
`docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md`, audit `docs/research/SESSION10_AUDIT.md`.
## 4. Condition and pairing
| Field | Value |
|---|---|
| dataset / alpha / seeds | `5gnidd` / 0.50 / `{0,1,2}` |
| dataset / alpha / seeds | `5gnidd` / 0.75 / `{0,1,2}` |
| runs | 15 `support_weighted` + 3 `original_protean`, all new this session |
| training | 10 clients, 10 rounds, 3 local epochs, batch 256, lr 1e-3, mu 0.1, lambda 1.0, Adam |
| code revision | unchanged from HEAD `2d27abc35026456de765c929dbcf0503a72ac572`; only docs/analysis added |
| code revision | unchanged from HEAD `a7f2b0049e99fb66021b4660b82a48d5dbbef072`; only docs/analysis added |
Manifests (reused, never regenerated; one content hash per seed across all six runs; each
reproduced from the raw dataset with split/`N_ij`/partition hash verified):
| seed | manifest content hash | partition hash | split hash | rng seed | round-0 snapshot SHA-256 |
|---|---|---|---|---|---|
| 0 | `0732582cf4510089…` | `8352d4ff…` | `18f89f48…` | 673621352 | `eb0839f2595727…` |
| 1 | `f43906e111a8342c…` | `0815c91e…` | `3d05b7fe…` | 1403944623 | `6cbd04e0dd97bb…` |
| 2 | `fe8b4fc6f0486cf4…` | `fdcf388e…` | `fc758d06…` | 633461056 | `f012a02b543b92…` |
| 0 | `96cd9b90b71895da…` | `74a91845627dbe57…` | `18f89f48…` | 892370747 | `266a6e9976d5c138…` |
| 1 | `007c23564a44919b…` | `fc04ba00f4942bf9…` | `3d05b7fe…` | 1817661572 | `acecab9a60852e45…` |
| 2 | `3134bea2d47a7336…` | `4ee33d0a28326ae1…` | `fc758d06…` | 306220443 | `ef90c51aa9998ec8…` |
Splits: train/validation/test = 851,123 / 121,589 / 243,177 for every seed (10 clients, 9 classes,
`Benign`). `train_support_Nij.csv`, `characterization.csv`, `rare_unseen.csv` identical across each
@@ -97,60 +98,61 @@ hashes.
## 5. Validation results (USED FOR SELECTION) and pooled selection
Primary metric: validation per-client-mean rare-class macro-F1. All 10 clients eligible in every
seed. Full tables: `artifacts/analysis/5gnidd__alpha0.5__multiseed__validation_per_seed.csv`.
seed. Full tables: `artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv`.
Per-seed validation per-client-mean rare-class macro-F1:
| beta | seed 0 | seed 1 | seed 2 |
|---|---|---|---|
| 0.00 | 0.738597 | 0.633243 | 0.689849 |
| 0.25 | 0.661461 | 0.573717 | 0.700055 |
| 0.50 | 0.764487 | 0.563388 | 0.696131 |
| 0.75 | 0.750661 | 0.543319 | 0.771124 |
| 1.00 | 0.768877 | 0.531764 | 0.776468 |
| 0.00 | 0.834681 | 0.763787 | 0.735812 |
| 0.25 | 0.823388 | 0.821190 | 0.726871 |
| 0.50 | **0.836792** | 0.848836 | 0.741617 |
| 0.75 | 0.824667 | 0.833255 | 0.716668 |
| 1.00 | 0.815774 | **0.852469** | **0.744677** |
Pooled across seeds (`...__validation_pooled.csv`):
| beta | pooled mean | std (sample) | min | max | selected |
|---|---|---|---|---|---|
| 0.00 | 0.687230 | 0.052726 | 0.633243 | 0.738597 | |
| 0.25 | 0.645078 | 0.064743 | 0.573717 | 0.700055 | |
| 0.50 | 0.674669 | 0.102253 | 0.563388 | 0.764487 | |
| 0.75 | 0.688368 | 0.126032 | 0.543319 | 0.771124 | |
| **1.00** | **0.692370** | 0.139140 | 0.531764 | 0.776468 | **yes** |
| 0.00 | 0.778094 | 0.050963 | 0.735812 | 0.834681 | |
| 0.25 | 0.790483 | 0.055100 | 0.726871 | 0.823388 | |
| **0.50** | **0.809081** | 0.058735 | 0.741617 | 0.848836 | **yes** |
| 0.75 | 0.791530 | 0.064974 | 0.716668 | 0.833255 | |
| 1.00 | 0.804306 | 0.054803 | 0.744677 | 0.852469 | |
- **PRIMARY selected beta (`beta_star_5gnidd_alpha050`) = 1.00**, max pooled validation
- **PRIMARY selected beta (`beta_star_5gnidd_alpha075`) = 0.50**, max pooled validation
per-client-mean rare-class macro-F1; **no tie-break used**; validation-only.
- **SECONDARY per-seed diagnostics only:** seed 0 → 1.00, seed 1 → 0.00, seed 2 → 1.00.
- Between-beta spread ≈ 0.047; between-seed std 0.053–0.139 → statistically weak, descriptive.
- **SECONDARY per-seed diagnostics only:** seed 0 → 0.50, seed 1 → 1.00, seed 2 → 1.00.
- Between-beta spread ≈ 0.031; between-seed std 0.051–0.065 → statistically weak, descriptive.
## 6. Final test evaluation of the pooled-selected beta
`beta_star = 1.00` was fixed from pooled validation before test was read.
`beta_star = 0.50` was fixed from pooled validation before test was read.
| metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
|---|---|---|---|---|
| rare-class macro-F1 | 0.880962 | 0.840075 | 0.894914 | 0.871984 ± 0.028501 |
| rare-class recall | 0.974355 | 0.968341 | 0.958616 | 0.967104 ± 0.007942 |
| macro-F1 | 0.850470 | 0.815941 | 0.849378 | 0.838596 ± 0.019627 |
| accuracy | 0.742838 | 0.744026 | 0.742907 | 0.743257 ± 0.000667 |
| weighted-F1 | 0.716950 | 0.720106 | 0.717530 | 0.718195 ± 0.001680 |
| rare-class macro-F1 | 0.904447 | 0.905721 | 0.880045 | 0.896738 ± 0.014470 |
| rare-class recall | 0.958666 | 0.959723 | 0.960715 | 0.959701 ± 0.001025 |
| macro-F1 | 0.857309 | 0.859939 | 0.842201 | 0.853150 ± 0.009572 |
| accuracy | 0.749508 | 0.754381 | 0.752933 | 0.752274 ± 0.002503 |
| weighted-F1 | 0.723885 | 0.730109 | 0.728408 | 0.727467 ± 0.003217 |
`original_protean` for the same seeds/condition:
| metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
|---|---|---|---|---|
| rare-class macro-F1 | 0.871964 | 0.921136 | 0.848525 | 0.880542 ± 0.037058 |
| rare-class recall | 0.974314 | 0.968566 | 0.975859 | 0.972913 ± 0.003843 |
| macro-F1 | 0.836881 | 0.865437 | 0.824867 | 0.842395 ± 0.020840 |
| accuracy | 0.734416 | 0.747377 | 0.750133 | 0.743975 ± 0.008393 |
| weighted-F1 | 0.708765 | 0.722802 | 0.724622 | 0.718730 ± 0.008678 |
| rare-class macro-F1 | 0.905589 | 0.860758 | 0.873356 | 0.879901 ± 0.023121 |
| rare-class recall | 0.961285 | 0.959036 | 0.963321 | 0.961214 ± 0.002144 |
| macro-F1 | 0.857109 | 0.829867 | 0.837238 | 0.841405 ± 0.014091 |
| accuracy | 0.747048 | 0.754072 | 0.751745 | 0.750955 ± 0.003578 |
| weighted-F1 | 0.721059 | 0.729950 | 0.727133 | 0.726047 ± 0.004544 |
Descriptive difference for test rare-class macro-F1 (`beta_star` − `original_protean`) is
+0.008998 / −0.081061 / +0.046389 (mean −0.008558). Test is descriptive only; no superiority or
generalisation claimed. Note 5G-NIDD test weighted-F1 (`≈0.718`) sits **below** accuracy
(`≈0.744`) — the opposite of X-IIoTID — because the high-support classes are the harder ones for
nearest-prototype inference.
−0.001141 / +0.044963 / +0.006689 (mean +0.016837). Test is descriptive only; no superiority or
generalisation claimed. The global rare evaluation support is **28,000 for every seed** (rare-class
union identical across seeds at alpha=0.75), so cross-seed test levels are directly comparable at
this condition. Test weighted-F1 (`≈0.727`) again sits **below** accuracy (`≈0.752`), as at
alpha=0.50.
## 7. `beta = 0` equivalence result (all three seeds)
@@ -159,157 +161,152 @@ For seeds 0, 1, 2, `support_weighted beta=0` vs frozen `original_protean`:
- Same manifest/split/hashes, round-0 snapshot byte-identical, support/char/rare_unseen
identical: **yes** for all three.
- Independent aggregation (`ΣC/n` vs `(1/n)ΣC`): 4.4e-16 / 4.4e-16 / 4.4e-16.
- History rare-macro-F1 max diff (rounds ≥ 1): 1.93e-2 / 6.01e-2 / 2.60e-2; test metric max diff
2.33e-3 / 1.86e-4 / 8.70e-3.
- History rare-macro-F1 max diff (rounds ≥ 1): 3.22e-2 / 5.04e-2 / 2.72e-2; test metric max diff
5.22e-3 / 5.32e-3 / 2.74e-4.
- Classification: **B** in all seeds — semantic equivalence + floating-point divergence; no
semantic discrepancy. Machine-readable:
`artifacts/analysis/5gnidd__alpha0.5__multiseed__beta0_equivalence.csv`.
`artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv`.
Conditional on the shared `S_j` reproduction assumption; not proof `beta=0` reproduces original
PROTEAN.
## 8. Partition characterization (realized) and dataset structure
## 8. Partition characterization (realized) and comparison with alpha=0.50
5G-NIDD `alpha=0.50` (training split), `M = 10`:
5G-NIDD `alpha=0.75` (training split), `M = 10`:
| seed | `|S_j| < M` cells | missing client-class cells | client-size ratio | union rare | union unseen | max unseen/client |
|---|---|---|---|---|---|---|
| 0 | 2 / 9 | 2 | 11.63 | 6 | 2 | 1 |
| 1 | 0 / 9 | 0 | 4.43 | 5 | 0 | 0 |
| 2 | 2 / 9 | 2 | 12.72 | 6 | 2 | 1 |
| **sum/mean** | **4 / 27** | **4** | mean **9.59** | 6/5/6 | 2/0/2 | 1 |
|---|---|---|---|---|---|---|---|
| 0 | 2 / 9 | 3 | 3.70 | 6 | 2 | 1 |
| 1 | 2 / 9 | 2 | 11.36 | 6 | 2 | 1 |
| 2 | 0 / 9 | 0 | 3.87 | 6 | 0 | 0 |
| **sum/mean** | **4 / 27** | **5** | mean **6.31** | 6/6/6 | 2/2/0 | 1 |
All 10 clients have exactly two rare classes and are eligible in every seed; mean class-support
CV = **1.225**. Full tables:
`artifacts/analysis/5gnidd__alpha0.5__partition_heterogeneity_*.csv` and
All 10 clients have exactly two rare classes and are eligible in every seed. **The rare-class union
is identical across all three seeds** (`{ICMPFlood, SYNFlood, SYNScan, SlowrateDoS, TCPConnectScan,
UDPScan}`), so test rare support is constant (28,000). Mean class-support CV = **0.916**. Missing
cells are single-client gaps: seed 0 (`ICMPFlood` c0/c3, `SYNFlood` c4), seed 1 (`ICMPFlood` c3,
`SYNScan` c6). Full tables:
`artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_*` and
`...__partition_characterization.csv`.
### Comparison with X-IIoTID alpha=0.50 (descriptive)
### Comparison with 5G-NIDD alpha=0.50 (descriptive)
| statistic | 5G-NIDD a0.50 | X-IIoTID a0.50 |
| statistic | 5G-NIDD a0.50 | 5G-NIDD a0.75 |
|---|---|---|
| pooled-selected beta | **1.00** | **0.75** |
| pooled validation mean range (spread) | 0.645–0.692 (0.047) | 0.544–0.579 (0.035) |
| pooled validation std range | 0.053–0.139 | 0.075–0.100 |
| `|S_j| < M` cells (sum/27) | **4/27** | 7/27 |
| missing client-class cells | **4** | 9 |
| client-size ratio mean | **9.59** | 7.41 |
| mean class-support CV | 1.225 | 1.183 |
| union rare per seed | 6/5/6 | 6/7/7 |
| union unseen per seed | 2/0/2 | 3/3/1 |
| mean displacement ‖Cbar(1)−Cbar(0)‖ | 2.340 | 2.099 |
| selected-beta client improve/degrade | 6/3, 3/5, 7/2 | 7/3, 8/1, 8/1 |
| pooled-selected beta | **1.00** | **0.50** |
| pooled validation mean range (spread) | 0.645–0.692 (0.047) | 0.778–0.809 (0.031) |
| pooled validation std range | 0.053–0.139 | 0.051–0.065 |
| `|S_j| < M` cells (sum/27) | 4/27 | 4/27 |
| missing client-class cells | 4 | 5 |
| client-size ratio mean | 9.59 | 6.31 |
| mean class-support CV | 1.225 | 0.916 |
| union rare per seed | 6/5/6 | 6/6/6 |
| union unseen per seed | 2/0/2 | 2/2/0 |
| test rare support per seed | 104,843 / 13,375 / 128,995 | 28,000 / 28,000 / 28,000 |
| mean displacement `‖Cbar(1)−Cbar(0)‖` | 2.340 | 1.385 |
| selected-beta client improve/degrade | 6/3, 3/5, 7/2 | 4/6, 6/3, 4/2 |
| `beta=0` class | B/B/B | B/B/B |
5G-NIDD has fewer missing class cells but more imbalanced client sizes; the selected beta differs
descriptively. No causal or monotone claim; only two datasets, one condition each.
Higher alpha lowers **mean** support imbalance and mean displacement, but the number of
`|S_j|<M` cells is unchanged and missing cells rise. No causal or monotone claim (two alpha levels).
Machine-readable cross-alpha artifacts: `artifacts/analysis/5gnidd__cross_alpha__*`.
## 9. Direct prototype-effect findings (fixed round-0 snapshots, no retraining)
`||Cbar_j(1) − Cbar_j(0)||`, cross-seed mean (std), 5G-NIDD alpha=0.50:
`||Cbar_j(1) − Cbar_j(0)||`, cross-seed mean (std), 5G-NIDD alpha=0.75:
| class | mean disp | std |
|---|---|---|
| UDPScan | 3.461 | 2.011 |
| HTTPFlood | 3.120 | 1.289 |
| SYNScan | 2.875 | 0.959 |
| SlowrateDoS | 2.763 | 1.454 |
| SYNFlood | 2.262 | 0.748 |
| TCPConnectScan | 2.131 | 0.213 |
| Benign | 1.690 | 0.699 |
| UDPFlood | 1.598 | 0.428 |
| ICMPFlood | 1.159 | 0.093 |
| UDPScan | 2.445 | 0.484 |
| SYNFlood | 1.897 | 0.171 |
| SlowrateDoS | 1.565 | 0.654 |
| SYNScan | 1.563 | 0.640 |
| HTTPFlood | 1.366 | 0.544 |
| TCPConnectScan | 1.226 | 0.476 |
| UDPFlood | 0.903 | 0.103 |
| Benign | 0.824 | 0.272 |
| ICMPFlood | 0.673 | 0.331 |
Mean across classes **2.340** at beta=1.0 (monotone: 0.953 / 1.567 / 2.003 / 2.340 for beta
0.25/0.50/0.75/1.00). Seed-sensitive (e.g. UDPScan 1.42 / 3.52 / 5.44). Displacement is a
direct-aggregation measure only, not a detection result. Outputs:
`...__prototype_effect_pooled.csv` and per-seed `...__prototype_effect.csv` / `...__prototype_weights.csv`.
Mean across classes **1.385** at beta=1.0 (monotone: 0.497 / 0.875 / 1.163 / 1.385 for beta
0.25/0.50/0.75/1.00), smaller than at alpha=0.50 (2.340). Displacement is a direct-aggregation
measure only, not a detection result. Outputs:
`artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv` and per-seed
`...__prototype_effect.csv` / `...__prototype_weights.csv`.
## 10. Client-level findings (validation, vs beta = 0)
Detail: `...__client_validation_detail.csv`; summary: `...__client_validation_summary.csv`.
At the selected `beta=1.00`: **6/3/1** (seed 0, mean Δ +0.030), **3/5/2** (seed 1, mean Δ −0.101;
worst client −0.656), **7/2/1** (seed 2, mean Δ +0.087). The response is seed-dependent and
`N_ij` vs ΔF1 is non-monotonic. Client ids are per-seed realisations and are not pooled.
At the selected `beta=0.50`: **4/6/0** (seed 0, mean Δ +0.0021, range −0.0434…+0.0744),
**6/3/1** (seed 1, mean Δ +0.0850, range −0.0172…+0.2667), **4/2/4** (seed 2, mean Δ +0.0058).
The response is seed-dependent and `N_ij` vs ΔF1 is non-monotonic. Client ids are per-seed
realisations and are not pooled.
## 11. Runtime / resources
CPU only, no GPU, no swap, exit 0 on all 18 runs. Per-run wall-clock 62–68 min; CPU 734–745 %;
peak RSS 10.36 GiB (seed 0), 8.67 GiB (seed 1), 14.04 GiB (seed 2). New compute: 18 runs,
69,336 s ≈ **19.26 h** wall-clock, sequential (8 cores). Machine-readable:
`artifacts/analysis/5gnidd__alpha0.5__multiseed__runtime.csv`.
CPU only, no GPU, no swap, exit 0 on all 18 runs. Per-run wall-clock 61:55–66:37; CPU 738–745 %;
peak RSS ~8.69 GiB (seed 0), ~11.78 GiB (seed 1), ~11.00 GiB (seed 2). New compute: 18 runs,
**69,064 s ≈ 19.18 h** wall-clock, sequential (8 cores). Machine-readable:
`artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv`.
## 12. Methodological decisions / assumptions
1. **`S_j` participant/denominator rule** (`S_j = {i | N_ij > 0 and valid C_ij}`, equal weights in
the baseline) is a **REPRODUCTION ASSUMPTION**; material in only **4/27** class-condition cells
at 5G-NIDD alpha=0.50. Carry this caveat in all reporting.
the baseline) is a **REPRODUCTION ASSUMPTION**; material in **4/27** class-condition cells at
5G-NIDD alpha=0.75. Carry this caveat in all reporting.
2. `N_ij` is class-specific sample support, not prototype quality.
3. Beta is one value for all classes/clients; candidates frozen at `{0,.25,.5,.75,1}`.
4. **PRIMARY selection = pooled validation across clients and seeds**; per-seed selection is
secondary stability diagnostics; test used only after the pooled beta is fixed.
5. No new source scripts this session; analysis used the existing read-only
`analyze_partition_heterogeneity.py`, `analyze_prototype_effect.py`, `analyze_multiseed_beta.py`,
`verify_beta0_equivalence.py`. Ad-hoc Stage-A/audit helpers live only under
`/tmp/opencode/s9/` (outside the repo).
`verify_beta0_equivalence.py`, `analyze_cross_alpha.py`. Ad-hoc Stage-A/audit helpers live only
under `/tmp/opencode/s10/` (outside the repo).
6. `lambda=1.0`, Adam, lr 1e-3, batch 256 remain PROJECT DECISIONS. No `equal_available` mode.
## 13. Unresolved questions / blockers
1. `S_j` reproduction ambiguity — unresolved; no official PROTEAN code exists.
2. Pooled beta selection remains statistically weak at all measured conditions: across-seed std is
comparable to or larger than the between-beta spread. No inferential test was performed.
comparable to the between-beta spread. No inferential test was performed.
3. `beta = 0` is not bitwise identical to `original_protean`; documentation decision still open.
4. Session-2 manifests still store `preprocessing_hash = null` / `config_hash = null`.
5. Only 5G-NIDD alpha=0.50 (one condition) measured; no 5G-NIDD alpha=0.25/0.75 result; no
cross-alpha 5G-NIDD or cross-dataset causal claim.
6. The selected beta differs across datasets (5G-NIDD 1.00 vs X-IIoTID 0.75) but no trend or
causality is claimed.
5. 5G-NIDD now has alpha=0.50 (1.00) and alpha=0.75 (0.50); **alpha=0.25 remains unmeasured**, so
no 5G-NIDD alpha→beta trend can be stated.
6. The selected beta differs across datasets/conditions (5G-NIDD a0.50 = 1.00, a0.75 = 0.50;
X-IIoTID a0.75 = 0.50) but no trend or causality is claimed.
## 14. Git status
No commit or push was made. `HEAD = 2d27abc35026456de765c929dbcf0503a72ac572`, branch `main`,
in sync with `origin/main`. `git status --short` shows only untracked docs/analysis artifacts and
the modified handoff; `results/` is gitignored:
No commit or push was made. `HEAD = a7f2b0049e99fb66021b4660b82a48d5dbbef072`, branch `main`,
in sync with `origin/main`. `git status --short` shows only untracked docs/analysis artifacts (no
tracked modification); `results/` is gitignored. `planningawal/` and both raw datasets are
unchanged. `equal_available` absent. No test-based selection. The 18 runs are the only
`results/5gnidd__alpha0.75__*` directories.
```
M docs/handoff/SESSION_HANDOFF.md
?? docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md
?? docs/research/SESSION9_AUDIT.md
?? artifacts/analysis/5gnidd__alpha0.5__* (46 files: snapshots, multiseed tables, effect/weights,
partition characterization, beta0 equivalence, runtime,
audit_recomputation)
?? (pre-existing Session-5/6/7/8 untracked views, unchanged)
```
## 15. Session 10 audit result
No tracked source/test/config file differs from HEAD. `planningawal/` and both raw datasets are
unchanged. `artifacts/partitions/` unmodified. `equal_available` absent. No 5G-NIDD
`support_weighted` run before this session; no 5G-NIDD alpha=0.25/0.75 run. The pre-existing
`5gnidd__alpha0.5__seed0__original_protean` was overwritten in place by the fresh rerun (backed up
to `/tmp/opencode/s9/old_baseline_backup/`).
## 15. Session 9 audit result
- Verdict: **PASS** (`docs/research/SESSION9_AUDIT.md`).
- Verdict: **PASS** (`docs/research/SESSION10_AUDIT.md`).
- Run inventory 18/18, pairing hash-identical, manifests reproduced from raw data.
- Validation recomputed exactly; **pooled `beta_star(5gnidd, alpha=0.50) = 1.00`** (validation
- Validation recomputed exactly; **pooled `beta_star(5gnidd, alpha=0.75) = 0.50`** (validation
only). Selected-beta test and `original_protean` test means/stds exact.
- Leakage audit PASS; `test_used_for_selection=false` upheld.
- Rare/unseen integrity PASS (0 mismatches / 270 cells). `beta=0` equivalence class **B**.
- Reuse decision PASS (not reused; rerun reproduces old baseline exactly).
- Direct-effect, client-level, cross-dataset labels: PASS.
- Source/data integrity PASS. pytest: **75 passed, 0 failed, 0 skipped, 0 warnings**.
- Rare/unseen integrity PASS (0 mismatches / 1,620 cells). `beta=0` equivalence class **B**.
- Direct-effect, client-level, cross-condition labels: PASS.
- Source/data integrity PASS. pytest: **75 passed, 0 failed, 0 skipped**.
## 16. Files created / modified this session
Created:
- `docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md`
- `docs/research/SESSION9_AUDIT.md`
- `artifacts/analysis/5gnidd__alpha0.5__*` (46 files: 18 prototype snapshots, 6 prototype
effect/weights CSVs, multiseed validation/client/test/effect/beta0/runtime tables,
partition heterogeneity + characterization, audit recomputation)
- `results/5gnidd__alpha0.5__seed{0,1,2}__*` (18 run dirs, gitignored)
- `docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md`
- `docs/research/SESSION10_AUDIT.md`
- `artifacts/analysis/5gnidd__alpha0.75__*` — 18 prototype snapshots + 6 per-seed
effect/weights CSVs + `5gnidd__alpha0.75__multiseed__*` (validation per-seed/pooled,
client detail/summary/deltas, test descriptive, prototype effect pooled, beta0 equivalence,
runtime, selection summary, audit recomputation) + `5gnidd__alpha0.75__partition_heterogeneity_*`
+ `5gnidd__alpha0.75__partition_characterization.csv` + `5gnidd__cross_alpha__*`
- `results/5gnidd__alpha0.75__seed{0,1,2}__*` (18 run dirs, gitignored)
Modified:
@@ -319,20 +316,20 @@ No source or test code was changed.
## 17. Exact recommended next phase
1. **Session 9 is audited and safe to checkpoint** (verdict PASS; see §15 and
`docs/research/SESSION9_AUDIT.md`). Before checkpointing, stage only the intended
1. **Session 10 is audited and safe to checkpoint** (verdict PASS; see §15 and
`docs/research/SESSION10_AUDIT.md`). Before checkpointing, stage only the intended
docs/analysis artifacts; do not commit `results/` or the raw datasets.
2. **5G-NIDD alpha=0.50 is complete.** Next 5G-NIDD condition (alpha=0.75 or alpha=0.25) is
**safe to run** — its manifest already exists and reproduces from raw data, the pipeline is
stable, and the same frozen protocol applies. Budget **≈19 h per condition** (18 runs × ~64 min)
and run **one condition at a time**; do not launch the full grid blindly. A single condition,
then inspect, then proceed is recommended.
2. **5G-NIDD alpha=0.50 and alpha=0.75 are complete.** The final 5G-NIDD condition, **alpha=0.25**,
is **safe to run** — its manifest already exists and reproduces from raw data, the pipeline is
stable, and the same frozen protocol applies. Budget **≈19 h** (18 runs × ~64 min) and run
**one condition at a time**; do not launch the grid blindly.
3. Follow the same pooled validation-only selection rule; report each selected beta as "best among
the tested candidates under pooled validation for that condition" — never a global optimum.
4. Do not infer a monotone alpha→beta relation from three X-IIoTID conditions or from a single
5G-NIDD condition; do not claim dataset causality from two datasets.
5. Update `EXPERIMENT_PROTOCOL.md` only if a real ambiguity appears; update this handoff.
6. Do not commit or push unless asked.
4. After alpha=0.25, build the 5G-NIDD cross-alpha comparison (alpha=0.25/0.50/0.75) analogous to
`XIIOTID_CROSS_ALPHA_ANALYSIS.md`, and only then consider cross-dataset discussion.
5. Do not infer a monotone alpha→beta relation; do not claim dataset causality.
6. Update `EXPERIMENT_PROTOCOL.md` only if a real ambiguity appears; update this handoff.
7. Do not commit or push unless asked.
## 18. Important commands
@@ -340,39 +337,42 @@ No source or test code was changed.
# Tests (75 expected)
.venv/bin/python -m pytest
# One full paired beta run (CPU, ~63-68 min, ~8.7-14.1 GiB for 5G-NIDD)
.venv/bin/python scripts/run_baseline.py --dataset 5gnidd --alpha 0.5 --seed 1 \
# One full paired beta run (CPU, ~62-67 min, ~8.7-11.8 GiB for 5G-NIDD)
.venv/bin/python scripts/run_baseline.py --dataset 5gnidd --alpha 0.75 --seed 1 \
--clients 10 --rounds 10 --local-epochs 3 \
--aggregation-mode support_weighted --beta 1.0
# Pooled multi-seed validation analysis (read-only, no retraining)
.venv/bin/python scripts/analyze_multiseed_beta.py --dataset 5gnidd --alpha 0.5 --seeds 0 1 2
.venv/bin/python scripts/analyze_multiseed_beta.py --dataset 5gnidd --alpha 0.75 --seeds 0 1 2
# Direct prototype-effect analysis (no retraining)
.venv/bin/python scripts/analyze_prototype_effect.py \
--snapshot artifacts/analysis/5gnidd__alpha0.5__seed0__support_weighted__beta0__prototype_snapshot.json \
--snapshot artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot.json \
--class-names "Benign,HTTPFlood,ICMPFlood,SYNFlood,SYNScan,SlowrateDoS,TCPConnectScan,UDPFlood,UDPScan" \
--output-dir artifacts/analysis
# Realized partition characterization
.venv/bin/python scripts/analyze_partition_heterogeneity.py --dataset 5gnidd --alphas 0.5
# Realized partition characterization (cross-alpha)
.venv/bin/python scripts/analyze_partition_heterogeneity.py --dataset 5gnidd --alphas 0.5 0.75
# beta=0 equivalence audit
.venv/bin/python scripts/verify_beta0_equivalence.py --dataset 5gnidd --alpha 0.5 --seeds 0 1 2
.venv/bin/python scripts/verify_beta0_equivalence.py --dataset 5gnidd --alpha 0.75 --seeds 0 1 2
# Cross-alpha comparison table (5G-NIDD)
.venv/bin/python scripts/analyze_cross_alpha.py --dataset 5gnidd --alphas 0.5 0.75 --tag 5gnidd__cross_alpha
```
## 19. Recommended next-session prompt
```
You are continuing the perdalam-protean research repository (Session 10).
You are continuing the perdalam-protean research repository (Session 11).
FIRST, read completely:
1. docs/handoff/SESSION_HANDOFF.md
2. docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md
3. docs/research/SESSION9_AUDIT.md
4. docs/research/EXPERIMENT_PROTOCOL.md
5. docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md
6. docs/research/MULTISEED_BETA_VALIDATION.md
2. docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md
3. docs/research/SESSION10_AUDIT.md
4. docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md
5. docs/research/EXPERIMENT_PROTOCOL.md
6. docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md
Critical rules:
- planningawal/ is immutable.
@@ -380,18 +380,18 @@ Critical rules:
- The S_j participant rule is a REPRODUCTION ASSUMPTION.
- Do NOT add an executable equal_available mode.
- Beta selection uses validation only; PRIMARY is pooled across clients and seeds.
- Do NOT launch the full grid; run one condition at a time (~19 h per 5G-NIDD condition).
- Run one condition at a time (~19 h per 5G-NIDD condition).
Context: Session 9 completed 5G-NIDD alpha=0.50 for seeds {0,1,2} (18 runs, ~19.26 h) and was
independently audited (PASS; docs/research/SESSION9_AUDIT.md). Pooled validation selected
beta=1.00 (per-seed diagnostics 1.00 / 0.00 / 1.00). beta=0 equivalence class B. Realized
heterogeneity: 4/27 cells |S_j|<M, 4 missing cells, client ratio mean 9.59, mean displacement
2.340. X-IIoTID alpha=0.50 selected 0.75. The pre-existing seed-0 baseline was not reusable and
was re-run; it reproduces exactly.
Context: Session 10 completed 5G-NIDD alpha=0.75 for seeds {0,1,2} (18 runs, ~19.18 h) and was
independently audited (PASS; docs/research/SESSION10_AUDIT.md). Pooled validation selected
beta=0.50 (per-seed diagnostics 0.50 / 1.00 / 1.00). beta=0 equivalence class B. Realized
heterogeneity: 4/27 cells |S_j|<M, 5 missing cells, client ratio mean 6.31, mean displacement
1.385, rare-class union identical across seeds. 5G-NIDD alpha=0.50 selected 1.00; X-IIoTID
alpha=0.75 selected 0.50.
Task: run the next single 5G-NIDD condition (recommended alpha=0.75, then alpha=0.25) under the
same frozen protocol (seeds {0,1,2}, five betas + original_protean, frozen manifests, pooled
validation-only selection). Verify the manifest reproduces, run the 18 runs sequentially with
runtime/status files, produce a condition report + audit, and extend the cross-dataset/cross-alpha
comparison. Use .venv/bin/python. Do not commit or push unless asked.
Task: run the final 5G-NIDD condition alpha=0.25 under the same frozen protocol (seeds {0,1,2},
five betas + original_protean, frozen manifests, pooled validation-only selection). Verify the
manifest reproduces, run the 18 runs sequentially with runtime/status files, produce a condition
report + audit, and extend the 5G-NIDD cross-alpha comparison to alpha=0.25/0.50/0.75. Use
.venv/bin/python. Do not commit or push unless asked.
```
@@ -0,0 +1,450 @@
# 5G-NIDD Alpha-0.75 Beta Validation (Session 10)
Status: **second 5G-NIDD beta-validation condition**. This report covers a single 5G-NIDD
condition — `alpha = 0.75`, seeds `{0,1,2}`, the frozen `original_protean` baseline plus the five
`support_weighted` beta candidates — using the same pooled-across-seed validation-only selection
rule already applied to X-IIoTID (`alpha=0.25/0.50/0.75`) and 5G-NIDD `alpha=0.50`. It is **not** a
sweep, not a hyper-parameter search, and not evidence of a global optimum. **No other 5G-NIDD alpha
(0.25 / 0.50) was run in this session**; `alpha=0.50` was completed and audited in Session 9 and is
reused only as an audited reference.
Companion documents:
- `docs/research/EXPERIMENT_PROTOCOL.md` — frozen protocol and selection hierarchy.
- `docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md` — audited 5G-NIDD alpha=0.50 reference.
- `docs/research/SESSION9_AUDIT.md` — audit of the alpha=0.50 condition.
- `docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md` — X-IIoTID three-condition reference.
- `docs/research/SESSION10_AUDIT.md` — independent audit of this condition.
- `docs/handoff/SESSION_HANDOFF.md` — continuation point.
---
## A. Scope
| Field | Value |
|---|---|
| dataset | `5gnidd` (5G-NIDD) |
| alpha | 0.75 |
| seeds | 0, 1, 2 |
| aggregation | `original_protean` (per seed) + `support_weighted` for `beta ∈ {0, 0.25, 0.50, 0.75, 1.00}` |
| runs | 18: 15 `support_weighted` + 3 `original_protean`, **all run new this session** |
| compute | sequential CPU, one run at a time, 69,064 s ≈ **19.18 h** wall-clock |
| selection | pooled validation-only across seeds `{0,1,2}` |
| test | read only after the pooled beta was fixed |
No 5G-NIDD `alpha=0.25` run was performed; `alpha=0.50` was not re-run. The full grid was
deliberately not launched. `equal_available` was not added. No training/aggregation/preprocessing
source code was changed (HEAD `a7f2b0049e99fb66021b4660b82a48d5dbbef072`, unchanged).
---
## B. Dataset and manifests
### B.1 Raw-data provenance (Stage A)
- Path `~/datasets/5G-NIDD/5G-NIDD.csv`; SHA-256
`fa36f80859585f474504ca69eb951a079b35145537976c86b00aae3aab46ee59` — matches the Session-9
audited value; **unmutated**.
- Raw 1,215,890 rows; **1** exact duplicate dropped → 1,215,889; **0** label rows dropped.
- **Label semantics (canonicalised):** label column `Attack Type`; **9 classes** — benign
`Benign` (index 0) plus **8 attack classes** (`HTTPFlood, ICMPFlood, SYNFlood, SYNScan,
SlowrateDoS, TCPConnectScan, UDPFlood, UDPScan`). Full-data counts unchanged from Session 9
(Benign 477,736; UDPFlood 457,340; HTTPFlood 140,812; SlowrateDoS 73,124; TCPConnectScan
20,052; SYNScan 20,043; UDPScan 15,906; SYNFlood 9,721; ICMPFlood 1,155).
- **46 feature columns** (41 numeric median-imputed + train-standardized; 5 categorical one-hot
with an explicit `__MISSING__` category). Preprocessing is spec-driven, fits on the train split
only, and is identical to the previously audited pipeline (no source change).
- Rare/unseen logic verified against this class list: attack classes only, `N_ij > 0`, two
smallest positive training supports per client, `N_ij = 0` is unseen (never rare), benign never
rare/unseen. All 10 clients are eligible in all three seeds (each has exactly two rare classes).
### B.2 Manifest identity (frozen, never regenerated)
Each `(alpha=0.75, seed)` manifest was independently reproduced from the raw dataset during Stage A
(`prepare_dataset` → `reproduce_train_assignments`): exact `N_ij` match, partition-hash match and
split present. Train/validation/test sizes are 851,123 / 121,589 / 243,177 for every seed.
| seed | manifest | manifest content hash | partition hash | split hash | rng seed |
|---|---|---|---|---|---|
| 0 | `artifacts/partitions/5gnidd__alpha0.75__seed0.json` | `96cd9b90b71895da…` | `74a91845627dbe57…` | `18f89f4807de5493…` | 892370747 |
| 1 | `artifacts/partitions/5gnidd__alpha0.75__seed1.json` | `007c23564a44919b…` | `fc04ba00f4942bf9…` | `3d05b7fe48d5a06c…` | 1817661572 |
| 2 | `artifacts/partitions/5gnidd__alpha0.75__seed2.json` | `3134bea2d47a7336…` | `4ee33d0a28326ae1…` | `fc758d060dc51dec…` | 306220443 |
`preprocessing_hash` / `config_hash` remain `null` in these Session-2 manifests (known
limitation, carry-over).
### B.3 Pairing (from content hashes, not filenames)
Within each seed all six runs share one manifest content hash and a **byte-identical round-0
snapshot**; `train_support_Nij.csv`, `characterization.csv` and `rare_unseen.csv` each have exactly
one SHA-256 across the six runs; `manifest_reload_ok = true` and `smoke = false` everywhere.
| seed | manifest content hash | round-0 snapshot SHA-256 (all 6 runs) |
|---|---|---|
| 0 | `96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5` | `266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b` |
| 1 | `007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3` | `acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0` |
| 2 | `3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d` | `ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46` |
18/18 runs present with `dataset=5gnidd, alpha=0.75`, 10 clients, 10 rounds, 3 local epochs,
batch 256, lr 1e-3, mu 0.1, lambda 1.0; all exit status 0.
---
## C. Frozen protocol
Identical to `EXPERIMENT_PROTOCOL.md` §14: 10 clients, 10 rounds, 3 local epochs, batch 256, Adam
`lr=1e-3`, `mu=0.1`, `lambda=1.0`; unchanged architecture, preprocessing, split recipe, Dirichlet
partition recipe (`per_class_dirichlet_multinomial`), loss and nearest-prototype inference. All 18
runs used `scripts/run_baseline.py` at HEAD `a7f2b0049e99fb66021b4660b82a48d5dbbef072`.
Selection rule (unchanged):
- **PRIMARY:** pooled-across-seed validation per-client-mean rare-class macro-F1, validation only.
- **SECONDARY (diagnostic):** per-seed validation selection.
- **TEST:** read only after the pooled beta was fixed; `test_used_for_selection = false` for every
`support_weighted` run.
---
## D. Partition characterization (realized, before interpretation)
All statistics are from the training-split `N_ij`; `M = 10` clients; `|S_j| < M` means fewer than
10 clients contribute a prototype for a class.
### D.1 Per-seed summary (alpha=0.75)
| seed | `|S_j| < M` cells | missing client-class cells | client-size min/max (ratio) | union rare | union unseen | max unseen on a client |
|---|---|---|---|---|---|---|
| 0 | 2 / 9 | 3 | 38,839 / 143,547 (3.70) | 6 | 2 | 1 |
| 1 | 2 / 9 | 2 | 17,861 / 202,829 (11.36) | 6 | 2 | 1 |
| 2 | 0 / 9 | 0 | 49,537 / 191,908 (3.87) | 6 | 0 | 0 |
| **total / mean** | **4 / 27** | **5** | ratio mean **6.31** | 6/6/6 | 2/2/0 | 1 |
- Unlike 5G-NIDD `alpha=0.50`, the **union of rare classes is identical for all three seeds**:
`{ICMPFlood, SYNFlood, SYNScan, SlowrateDoS, TCPConnectScan, UDPScan}` (ICMPFlood is always
rare, together with one of several low-support attack classes per client). All 10 clients have
exactly two rare classes and are eligible in every seed.
- Missing cells are single-client gaps: seed 0 — `ICMPFlood` absent on clients c0/c3 and `SYNFlood`
absent on c4; seed 1 — `ICMPFlood` absent on c3 and `SYNScan` absent on c6.
- `|S_j| < M` cells: seed 0 — `ICMPFlood` on 8 clients, `SYNFlood` on 9; seed 1 — `ICMPFlood` on 9,
`SYNScan` on 9; seed 2 — all classes have 10 contributors.
- Union unseen classes: seed 0 = `{ICMPFlood, SYNFlood}`, seed 1 = `{ICMPFlood, SYNScan}`,
seed 2 = `{}`.
- Machine-readable: `artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv`,
`..._per_class.csv`, `..._summary.csv`, and per-client
`artifacts/analysis/5gnidd__alpha0.75__partition_characterization.csv`.
### D.2 Per-class support inequality
Mean class-support CV across seeds = **0.916** (seed 0 0.969, seed 1 0.854, seed 2 0.925); the
maximum per-class `max/min` ratio across seeds is 7,642.5 (driven by high-support `UDPFlood`).
Complete per-class tables: `..._per_class.csv`.
### D.3 Comparison with the audited 5G-NIDD alpha=0.50
`alpha=0.75` is **not uniformly less heterogeneous** in every realized statistic:
| statistic (training split) | 5G-NIDD alpha=0.50 | 5G-NIDD alpha=0.75 |
|---|---|---|
| `|S_j| < M` cells (sum / 27) | 4 / 27 | **4 / 27** |
| missing client-class cells | 4 | **5** |
| client-size ratio (seeds) | 11.63 / 4.43 / 12.72 | 3.70 / 11.36 / 3.87 |
| client-size ratio mean | 9.59 | **6.31** |
| mean class-support CV | 1.225 | **0.916** |
| union rare per seed | 6 / 5 / 6 | **6 / 6 / 6** |
| union unseen per seed | 2 / 0 / 2 | 2 / 2 / 0 |
| max unseen on a client | 1 | 1 |
Higher `alpha` reduces mean class-support CV and mean client-size spread, but the count of
`|S_j| < M` cells is unchanged and missing cells are actually **higher** (5 vs 4); seed 1 retains a
large client-size ratio (11.36). Realized statistics, not alpha alone, are used for interpretation.
---
## E. Per-seed validation results
`val rareMacroF1 (pc mean)` is the primary metric; all 10 clients eligible in every seed.
Machine-readable: `artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv`.
### Seed 0
| beta | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc |
|---|---|---|---|---|---|
| 0.00 | 0.834681 | 0.896267 | 0.955238 | 0.851140 | 0.747485 |
| 0.25 | 0.823388 | 0.899224 | 0.955542 | 0.853750 | 0.749155 |
| **0.50** | **0.836792** | 0.901588 | 0.954228 | 0.855700 | 0.750191 |
| 0.75 | 0.824667 | 0.901765 | 0.957174 | 0.856162 | 0.751178 |
| 1.00 | 0.815774 | 0.896524 | 0.960685 | 0.852728 | 0.751334 |
### Seed 1
| beta | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc |
|---|---|---|---|---|---|
| 0.00 | 0.763787 | 0.860129 | 0.960640 | 0.829213 | 0.753489 |
| 0.25 | 0.821190 | 0.896285 | 0.960906 | 0.853393 | 0.753687 |
| 0.50 | 0.848836 | 0.916475 | 0.961261 | 0.866771 | 0.753555 |
| 0.75 | 0.833255 | 0.913219 | 0.961421 | 0.864621 | 0.753662 |
| **1.00** | **0.852469** | 0.911192 | 0.961375 | 0.863190 | 0.753300 |
### Seed 2
| beta | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc |
|---|---|---|---|---|---|
| 0.00 | 0.735812 | 0.870022 | 0.958369 | 0.835202 | 0.752198 |
| 0.25 | 0.726871 | 0.862443 | 0.955793 | 0.830314 | 0.752379 |
| 0.50 | 0.741617 | 0.874029 | 0.956090 | 0.838279 | 0.753078 |
| 0.75 | 0.716668 | 0.850796 | 0.955018 | 0.822194 | 0.751170 |
| **1.00** | **0.744677** | 0.874155 | 0.954768 | 0.838259 | 0.752881 |
The per-seed curves are **non-monotone and seed-dependent**: seed 0 peaks at 0.50; seed 1 rises
then peaks at 1.00; seed 2 peaks at 1.00 with a dip at 0.75. Relative to `beta=0`, seeds 1 and 2
gain substantially at intermediate/high beta while seed 0 loses at 0.25/0.75/1.00.
---
## F. Per-seed diagnostic beta choices (SECONDARY, stability only)
| seed | selected beta | val rareMacroF1 (pc mean) | tie-break used | test_used_for_selection |
|---|---|---|---|---|
| 0 | 0.50 | 0.836792 | no | false |
| 1 | 1.00 | 0.852469 | no | false |
| 2 | 1.00 | 0.744677 | no | false |
These per-seed choices are **diagnostic only**; they are not the condition-level selection rule.
`val_selection.json` records `"selection_split": "validation"` and
`"test_used_for_selection": false` for all 15 `support_weighted` runs.
---
## G. PRIMARY pooled-across-seed validation selection
| beta | pooled mean | std (sample, ddof=1) | min | max | pooled val rareRecall (pc mean) | selected |
|---|---|---|---|---|---|---|
| 0.00 | 0.778094 | 0.050963 | 0.735812 | 0.834681 | 0.959858 | |
| 0.25 | 0.790483 | 0.055100 | 0.726871 | 0.823388 | 0.959614 | |
| **0.50** | **0.809081** | 0.058735 | 0.741617 | 0.848836 | 0.959268 | **yes** |
| 0.75 | 0.791530 | 0.064974 | 0.716668 | 0.833255 | 0.959624 | |
| 1.00 | 0.804306 | 0.054803 | 0.744677 | 0.852469 | 0.960041 | |
- **PRIMARY selected beta (`beta_star_5gnidd_alpha075`) = 0.50.**
- **Criterion:** maximum pooled validation per-client-mean rare-class macro-F1 (validation only).
- **Tie-break used:** no. Top-two beta = 0.50 (0.809081) vs 1.00 (0.804306); gap ≈ **4.8e-3**.
- **`test_used_for_selection = false`.** Test metrics were not inspected until the pooled beta was
fixed.
- **Interpretation:** `beta = 0.50` is the *best among the tested candidates under pooled
validation across seeds `{0,1,2}` for 5G-NIDD alpha=0.75*. It is **not** a global optimum. The
pooled validation curve is non-monotone (0.778 → 0.790 → 0.809 → 0.792 → 0.804); the total
between-beta spread is ≈ **0.031** and the across-seed sample std is 0.051–0.065 — comparable to
or larger than the between-beta spread, so the selection is statistically weak. The pooled win
is driven by seeds 1 and 2 (both strongly positive versus `beta=0`) partly offset by seed 0.
Machine-readable: `artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv`,
`...__selection_summary.json`.
---
## H. Final selected-beta test metrics (descriptive only)
`beta_star = 0.50` was fixed from pooled validation; only then were test metrics read.
| metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
|---|---|---|---|---|
| rare-class macro-F1 | 0.904447 | 0.905721 | 0.880045 | 0.896738 ± 0.014470 |
| rare-class recall | 0.958666 | 0.959723 | 0.960715 | 0.959701 ± 0.001025 |
| macro-F1 | 0.857309 | 0.859939 | 0.842201 | 0.853150 ± 0.009572 |
| accuracy | 0.749508 | 0.754381 | 0.752933 | 0.752274 ± 0.002503 |
| weighted-F1 | 0.723885 | 0.730109 | 0.728408 | 0.727467 ± 0.003217 |
The global rare evaluation support is **28,000 for every seed** (the training-derived union of rare
classes is identical across seeds at this alpha), so cross-seed test levels **are** directly
comparable at alpha=0.75 — unlike alpha=0.50. Test columns:
`artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv`.
---
## I. `original_protean` comparison
| metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
|---|---|---|---|---|
| rare-class macro-F1 | 0.905589 | 0.860758 | 0.873356 | 0.879901 ± 0.023121 |
| rare-class recall | 0.961285 | 0.959036 | 0.963321 | 0.961214 ± 0.002144 |
| macro-F1 | 0.857109 | 0.829867 | 0.837238 | 0.841405 ± 0.014091 |
| accuracy | 0.747048 | 0.754072 | 0.751745 | 0.750955 ± 0.003578 |
| weighted-F1 | 0.721059 | 0.729950 | 0.727133 | 0.726047 ± 0.004544 |
Descriptive difference (`beta_star` − `original_protean`) for test rare-class macro-F1 is
**−0.001141** (seed 0), **+0.044963** (seed 1), **+0.006689** (seed 2); mean **+0.016837**. Seed 0
is essentially flat/weakly negative; seeds 1 and 2 are positive, but all differences are smaller
than the between-seed std (≈ 0.023). No superiority or generalisation is claimed.
Descriptive dataset-level observation (consistent with alpha=0.50): on 5G-NIDD test weighted-F1
(`≈0.727`) sits **below** accuracy (`≈0.752`) — the opposite of X-IIoTID — because the
high-support classes are the harder ones for nearest-prototype inference.
---
## J. `beta = 0` equivalence vs `original_protean`
| property | seed 0 | seed 1 | seed 2 |
|---|---|---|---|
| same manifest / split / hashes | yes | yes | yes |
| round-0 snapshot byte-identical | yes (`266a6e99…`) | yes (`acecab9a…`) | yes (`ef90c51a…`) |
| support / characterization / rare_unseen identical | yes | yes | yes |
| independent aggregation diff (`ΣC/n` vs `(1/n)ΣC`) | 4.4e-16 | 4.4e-16 | 4.4e-16 |
| history rare-macro-F1 round-0 diff | 0.0 | 0.0 | 0.0 |
| history rare-macro-F1 max diff (rounds ≥ 1) | 3.22e-2 | 5.04e-2 | 2.72e-2 |
| test metric max abs diff | 5.22e-3 | 5.32e-3 | 2.74e-4 |
| **classification** | **B** | **B** | **B** |
Class **B**: semantic equivalence + floating-point numerical divergence; **no semantic
discrepancy**. Round 0 is byte-identical; a ~1 ULP ordering difference enters round-1
prototype-alignment training and the trajectories then diverge. Equivalence remains conditional on
the shared `S_j` reproduction assumption and is **not** proof that `beta=0` reproduces original
PROTEAN. Machine-readable:
`artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv`.
---
## K. Direct prototype-effect findings (fixed round-0 snapshots, no retraining)
Computed from each seed's fixed `{C_ij, N_ij}` round-0 snapshot via the production aggregation.
Cross-seed mean `||Cbar_j(beta) − Cbar_j(0)||` at `beta = 1.0` (sample std across seeds):
| class | mean disp | std | mean rel disp | #contributors (seed 0) |
|---|---|---|---|---|
| UDPScan | 2.445 | 0.484 | 0.285 | 10 |
| SYNFlood | 1.897 | 0.171 | 0.542 | 9 |
| SlowrateDoS | 1.565 | 0.654 | 0.252 | 10 |
| SYNScan | 1.563 | 0.640 | 0.199 | 10 |
| HTTPFlood | 1.366 | 0.544 | 0.175 | 10 |
| TCPConnectScan | 1.226 | 0.476 | 0.326 | 10 |
| UDPFlood | 0.903 | 0.103 | 0.163 | 10 |
| Benign | 0.824 | 0.272 | 0.138 | 10 |
| ICMPFlood | 0.673 | 0.331 | 0.179 | 8 |
- Mean displacement across the nine classes is **1.385** at beta=1.0, monotone in beta
(0.25 → 0.497, 0.50 → 0.875, 0.75 → 1.163, 1.00 → 1.385).
- Displacement is seed-sensitive (e.g. `SYNScan` std 0.640, `SlowrateDoS` std 0.654) and largest
for the support-imbalanced rare classes (`UDPScan`, `SYNFlood`); `Benign`/`ICMPFlood` move least.
- At alpha=0.75 the mean displacement is **smaller** than at alpha=0.50 (1.385 vs 2.340), tracking
the lower realized support imbalance, though the per-class rank order differs.
- Displacement is a **direct-aggregation measure only** and is **not** interpreted as improved or
degraded detection. The end-to-end effect is reported separately in §G/§H.
Outputs: `artifacts/analysis/5gnidd__alpha0.75__seed{0,1,2}__support_weighted__beta0__prototype_snapshot__prototype_effect.csv`
and `...__prototype_weights.csv`; cross-seed aggregate
`artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv`.
---
## L. Client-level effect (validation, relative to beta = 0)
Detail: `...__client_validation_detail.csv`; summary: `...__client_validation_summary.csv`. Client
ids are per-seed realisations and are **not** pooled across seeds. Tolerance 1e-9.
At the selected `beta = 0.50`:
| seed | improve | degrade | unchanged | mean Δ | min Δ | max Δ |
|---|---|---|---|---|---|---|
| 0 | 4 | 6 | 0 | +0.0021 | −0.0434 | +0.0744 (+0.0744 at c0, min N_ij=2) |
| 1 | 6 | 3 | 1 | +0.0850 | −0.0172 | +0.2667 (c8) |
| 2 | 4 | 2 | 4 | +0.0058 | −0.0054 | +0.0237 |
- The response is seed-dependent. Seed 1 improves strongly on 6/10 clients (mean Δ +0.085, max
+0.267); seed 0 is mixed (mean +0.002, but 6 degrade); seed 2 is mostly flat (4 unchanged).
- `N_ij` vs ΔF1 is **non-monotonic**: seed 1's largest gain (c8, +0.267) has the largest min
positive attack support (134), while seed 0's largest gain (c0, +0.074) has the smallest
(min N_ij = 2); the worst seed-0 degradation (c7, −0.043) is not the lowest-support client.
- This analysis is descriptive and non-causal.
Full per-beta client summaries: `...__client_validation_summary.csv`.
---
## M. Runtime and resources
CPU only, no GPU, no swap, exit status 0 for every run (`/usr/bin/time -v`). Full table:
`artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv`.
| group | wall range | CPU % | peak RSS |
|---|---|---|---|
| seed 0 (6 runs) | 61:55 – 62:59 | 742–745 | 8.68 GiB |
| seed 1 (6 runs) | 64:10 – 66:37 | 739–742 | 11.78 GiB |
| seed 2 (6 runs) | 63:38 – 65:12 | 738–740 | 10.99 GiB |
- New compute this session: **18 runs, 69,064 s ≈ 19.18 h** wall-clock, sequential on an 8-core
host.
- Per-run wall time is homogeneous (61:55–66:37). Peak RSS is partition-dependent, not
beta-dependent: ~8.69 GiB (seed 0), ~11.78 GiB (seed 1), ~11.00 GiB (seed 2), all within the
host memory. 5G-NIDD uses more memory than X-IIoTID because the training split is ~1.5× larger.
- No warnings, no client failures, 9/9 global prototypes in every round, no retries.
---
## N. Comparison with 5G-NIDD alpha = 0.50 (descriptive only)
Reference (Session 9, audited): `5GNIDD_ALPHA050_BETA_VALIDATION.md`.
| statistic | 5G-NIDD alpha=0.50 | 5G-NIDD alpha=0.75 |
|---|---|---|
| pooled-selected beta | **1.00** | **0.50** |
| pooled validation mean range (spread) | 0.645–0.692 (0.047) | 0.778–0.809 (0.031) |
| pooled validation std range | 0.053–0.139 | 0.051–0.065 |
| `|S_j| < M` cells (sum / 27) | 4 / 27 | 4 / 27 |
| missing client-class cells | 4 | 5 |
| client-size ratio mean | 9.59 | 6.31 |
| mean class-support CV | 1.225 | 0.916 |
| union rare per seed | 6 / 5 / 6 | 6 / 6 / 6 |
| union unseen per seed | 2 / 0 / 2 | 2 / 2 / 0 |
| test rare support per seed | 104,843 / 13,375 / 128,995 | 28,000 / 28,000 / 28,000 |
| mean displacement `‖Cbar(1)−Cbar(0)‖` | 2.340 | 1.385 |
| selected-beta client improve/degrade (per seed) | 6/3, 3/5, 7/2 | 4/6, 6/3, 4/2 |
| `beta=0` equivalence class (per seed) | B / B / B | B / B / B |
Descriptive observations (two alpha levels, one dataset, three project-defined seeds — **no
monotone or causal claim**):
- Both pooled validation curves are **non-monotone**; the selected beta differs (0.50 at alpha=0.75
vs 1.00 at alpha=0.50). Across-seed std is comparable to the between-beta spread at both
conditions, so both selections are statistically weak.
- Realized support imbalance is lower on average at alpha=0.75 (CV 0.916 vs 1.225; client ratio
6.31 vs 9.59) and mean prototype displacement is smaller (1.385 vs 2.340), yet the number of
`|S_j| < M` cells is identical (4/27) and missing cells are slightly higher.
- At alpha=0.75 the rare-class union is identical across seeds (constant test rare support),
whereas at alpha=0.50 it varies; this is a property of the realized partitions, not of beta.
- Validation **levels** are not directly comparable across alpha (different rare-class sets and
per-client eval partitions at alpha=0.50); only within-condition contrasts are interpreted.
Machine-readable: `artifacts/analysis/5gnidd__cross_alpha__cross_alpha_beta_table.csv`,
`..._displacement.csv`, `..._client_summary.csv`, `..._summary.json` and
`5gnidd__cross_alpha__partition_heterogeneity_*`.
---
## O. Optional cross-dataset context: X-IIoTID alpha = 0.75
Audited X-IIoTID reference (`XIIOTID_CROSS_ALPHA_ANALYSIS.md`): pooled-selected **beta = 0.50**
(pooled mean 0.476749 ± 0.046624), realized heterogeneity cells `3/27`, 4 missing cells, client
ratio mean 4.67, support CV 0.881, mean displacement 1.305. At alpha=0.75 both datasets select
beta = 0.50 descriptively. This is **not** evidence of a dataset-independent rule: only two
datasets, one alpha each in common, three seeds per condition, weak effects, and no inferential
test. No causal or generalisation claim is made.
---
## P. Limitations
- **One new condition** (5G-NIDD alpha=0.75). No 5G-NIDD alpha=0.25 result exists; no full
cross-alpha 5G-NIDD claim is possible yet. No X-IIoTID/5G-NIDD causal or monotone claim.
- **Three project-defined seeds** (`{0,1,2}`); the pooled mean's variation across seeds is
comparable to or larger than the between-beta spread, so `beta_star = 0.50` is statistically
weak and is only "best among the five tested candidates under pooled validation for this
condition".
- The `S_j` participant/denominator rule (`S_j = {i | N_ij > 0 and valid C_ij}`, equal weights in
the baseline) remains a **REPRODUCTION ASSUMPTION**. At 5G-NIDD alpha=0.75 it is material in
**4/27** class-condition cells, but the `beta=0` comparison is still conditional on both modes
sharing this rule and does **not** prove `beta=0` reproduces original PROTEAN.
- Train/validation/test adaptation (70/10/20 stratified) differs from the paper's literal 80/20;
the validation eval partition is a project decision.
- `preprocessing_hash`/`config_hash` remain `null` in the 5G-NIDD manifests.
- **No global beta optimum claim**; test metrics did not influence selection.
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# Session 10 Post-Experiment Audit (5G-NIDD alpha=0.75)
Status: **PASS.** Independent recomputation from machine-readable artifacts and the raw dataset
confirms every Session-10 Stage-B claim for 5G-NIDD `alpha=0.75`. No discovered issue changes
`beta_star` or the scientific interpretation. **No new training was run for this audit, no
aggregation/model/preprocessing source changed, and no test-based selection occurred.**
Audit performed: 2026-09-29. Audited HEAD: `a7f2b0049e99fb66021b4660b82a48d5dbbef072`.
Machine-readable audit record:
`artifacts/analysis/5gnidd__alpha0.75__multiseed__audit_recomputation.json`.
Companion documents: `docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md`,
`docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md`, `docs/research/EXPERIMENT_PROTOCOL.md`,
`docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md`, `docs/handoff/SESSION_HANDOFF.md`.
---
## A. Scope
Independently verify the Session-10 claim for:
- dataset `5gnidd`, alpha `0.75`, seeds `{0,1,2}`, beta `{0, 0.25, 0.5, 0.75, 1.0}` plus
`original_protean` (18 runs);
- PRIMARY pooled-validation selection `beta_star = 0.50` using validation per-client rare-class
macro-F1 averaged within seed then across seeds;
- `beta=0` equivalence class;
- cross-alpha (5G-NIDD alpha=0.50) and cross-dataset (X-IIoTID alpha=0.75) labels.
The audit recomputed from run artifacts and raw data; it repeated no training and ran no new
condition.
---
## B. Run inventory
18 full-data runs enumerated from `results/5gnidd__alpha0.75__*/metadata.json` (15
`support_weighted` + 3 `original_protean`), **18/18 present**, none duplicated, none partial, none
unexpected. Each run contains all 14 expected artifacts; the round-0 prototype snapshot exists for
all 18 runs. Metadata verified per run: dataset=5gnidd, alpha=0.75, seed, mode, clients=10,
rounds=10, local_epochs=3, batch=256, lr=1e-3, mu=0.1, lambda=1.0, `manifest_reload_ok=true`,
`smoke=false`. All 18 exit status 0.
No 5G-NIDD run exists for alpha=0.25; no 5G-NIDD `support_weighted` run for any other alpha exists;
`equal_available` is absent from `src/`, `scripts/`, `tests/`.
---
## C. Pairing / manifest integrity
Within each seed all six runs share one manifest content hash and a byte-identical round-0
snapshot; `train_support_Nij.csv`, `characterization.csv` and `rare_unseen.csv` are identical
across the six runs (one unique SHA-256 per file type per seed). `manifest_reload_ok = true` and
`smoke = false` everywhere.
| seed | manifest content hash | round-0 snapshot SHA-256 | support/char/rare unique counts |
|---|---|---|---|
| 0 | `96cd9b90b71895da…` | `266a6e9976d5c138…` | 1 / 1 / 1 |
| 1 | `007c23564a44919b…` | `acecab9a60852e45…` | 1 / 1 / 1 |
| 2 | `3134bea2d47a7336…` | `ef90c51aa9998ec8…` | 1 / 1 / 1 |
Each alpha=0.75 manifest was independently reproduced from the raw dataset
(`prepare_dataset` → `reproduce_train_assignments`): exact `N_ij` match, partition-hash match and
split-hash match for all three seeds; split sizes 851,123 / 121,589 / 243,177; `N_ij` sum
851,123; 10 clients. Pairing is proven by content hashes, not filenames.
---
## D. Partition characterization audit
Independently recomputed from the manifests; matches the report exactly:
| statistic | seed 0 / 1 / 2 | reality (sum / mean) |
|---|---|---|
| `|S_j| < M` cells | 2 / 2 / 0 | **4 / 27** |
| missing client-class cells | 3 / 2 / 0 | **5** |
| client-size ratio | 3.70 / 11.36 / 3.87 | mean **6.31** |
| union rare classes | 6 / 6 / 6 | identical set across seeds |
| union unseen classes | 2 / 2 / 0 | max 1 on a client |
Mean class-support CV = **0.916**; maximum per-class `max/min` ratio across seeds = 7,642.5.
---
## E. Label / rare / unseen integrity
- Cleaned 5G-NIDD label semantics reproduced: 1,215,890 raw rows, 1 duplicate dropped, 0 label
rows dropped, 9 classes (`Benign` + 8 attacks), benign index 0, 46 features (41 numeric, 5
categorical).
- Per-client rare/unseen recomputed from training `N_ij` (two smallest positive-support attack
classes, tie by class id) and compared to `rare_unseen.csv` across **all 18 runs**: **1,620 cells
checked, 0 mismatches**; benign class never flagged rare/unseen; rare and unseen never overlap;
every client has exactly two rare classes.
- `evaluated_rare_classes` equals the training-derived union rare set; validation/test labels did
not influence rare identity.
---
## F. Validation metric recomputation
Recomputed from raw artifacts (no report numbers copied):
- seed-level primary score = mean over eligible clients of `val_per_client.csv`
`rare_class_macro_f1`; equals `val_selection.json` per-client-mean to **max diff 0.0** for all
15 runs; all 10 clients eligible in every seed.
- global validation accuracy / macro-F1 / weighted-F1 recomputed independently from
`val_confusion_matrix.json` with the production formulas: **max diff 0.0** versus
`val_global_metrics.json`.
---
## G. Pooled-selection recomputation
Computed from the independently recomputed seed-level scores (not from the report). Pooled = mean
of the three seed means; std sample (`ddof=1`).
| beta | pooled mean | sample std | recomputed selected |
|---|---|---|---|
| 0.00 | 0.778094 | 0.050963 | |
| 0.25 | 0.790483 | 0.055100 | |
| **0.50** | **0.809081** | 0.058735 | **yes** |
| 0.75 | 0.791530 | 0.064974 | |
| 1.00 | 0.804306 | 0.054803 | |
- Recompute **matches the report** to formatting precision.
- `argmax` = **0.50** (no tie; top-two gap ≈ 4.8e-3). `tie_break_used=false`.
- Per-seed diagnostics reproduce **0.50 / 1.00 / 1.00**.
---
## H. Validation / test leakage audit
- `run_baseline.py` derives `union_rare` from the training support matrix only; the
`val_selection` payload is built only from validation artifacts and records
`selection_split="validation"`, `test_used_for_selection=false` for all 15 `support_weighted`
runs (audited true).
- `analyze_multiseed_beta.py` PRIMARY selection consumes only `per_seed_rows` built from
`val_selection.json`; test rows are read later and never referenced by selection or tie-break.
No code path sorts/filters candidates by a test field.
- The audit's own `beta_star = 0.50` was reproduced from validation artifacts alone.
Conclusion: selection is programmatic and validation-only; `test_used_for_selection = false` is
upheld.
---
## I. Final test recomputation
`beta_star = 0.50` fixed from pooled validation; only then test metrics read. Recomputed from
`test_global_metrics.json` per seed (and cross-checked byte-for-byte against `test_descriptive.csv`,
max diff 0.0), averaged across seeds with sample std:
| metric | selected beta 0.50 (mean ± std) | original_protean (mean ± std) |
|---|---|---|
| rare-class macro-F1 | 0.896738 ± 0.014470 | 0.879901 ± 0.023121 |
| rare-class recall | 0.959701 ± 0.001025 | 0.961214 ± 0.002144 |
| macro-F1 | 0.853150 ± 0.009572 | 0.841405 ± 0.014091 |
| accuracy | 0.752274 ± 0.002503 | 0.750955 ± 0.003578 |
| weighted-F1 | 0.727467 ± 0.003217 | 0.726047 ± 0.004544 |
Matches the report exactly. No superiority claim is made.
---
## J. `beta = 0` equivalence audit
For seeds 0, 1, 2, `original_protean` vs `support_weighted beta=0`:
| property | seed 0 | seed 1 | seed 2 |
|---|---|---|---|
| same manifest / split / hashes | yes | yes | yes |
| round-0 snapshot byte-identical | yes | yes | yes |
| support/characterization/rare_unseen identical | yes | yes | yes |
| independent aggregation diff | 4.4e-16 | 4.4e-16 | 4.4e-16 |
| history rare-macro-F1 round-0 diff | 0.0 | 0.0 | 0.0 |
| history rare-macro-F1 max diff (rounds ≥ 1) | 3.22e-2 | 5.04e-2 | 2.72e-2 |
| test metric max diff | 5.22e-3 | 5.32e-3 | 2.74e-4 |
| classification | **B** | **B** | **B** |
Class **B** (semantically equivalent + floating-point divergence); **no semantic discrepancy**.
Equivalence remains conditional on the shared `S_j` reproduction assumption.
---
## K. Direct-effect audit
Independently recomputed `||Cbar_j(beta) − Cbar_j(0)||` from the fixed round-0 snapshots with the
production aggregation: each seed's `...__prototype_effect.csv` is produced by
`analyze_prototype_effect.py` from the snapshot and the cross-seed pooled file aggregates it. Mean
displacement at `beta=1.0` is **1.385** (monotone: 0.497 / 0.875 / 1.163 / 1.385 for
beta 0.25/0.50/0.75/1.00). Displacement is a direct-aggregation measure only; no detection
causality is inferred.
---
## L. Client-level audit
Deltas recomputed from `val_per_client.csv` vs `client_validation_detail.csv` (via the `beta=0`
base): improve/degrade/unchanged at the selected `beta=0.50` = 4/6/0 (seed 0, mean +0.0021),
6/3/1 (seed 1, mean +0.0850), 4/2/4 (seed 2, mean +0.0058). `N_ij` vs ΔF1 is non-monotonic. Client
ids are per-seed realisations, not pooled.
---
## M. Cross-condition / cross-dataset labels
Condition-level pooled selections confirmed from `selection_summary.json`:
| condition | selected beta | tie-break | test_used_for_selection |
|---|---|---|---|
| 5G-NIDD alpha=0.75 (this session) | 0.50 | no | false |
| 5G-NIDD alpha=0.50 (Session 9) | 1.00 | no | false |
| X-IIoTID alpha=0.75 (Session 8) | 0.50 | no | false |
The report makes no causal, monotone or generalising claim and explicitly states the selections
differ descriptively across conditions.
---
## N. Artifact provenance
| Reported quantity | Source artifact(s) | Derivation |
|---|---|---|
| run existence / config | `results/5gnidd__alpha0.75__*/metadata.json` | direct read |
| manifest hashes / reproduction | `artifacts/partitions/5gnidd__alpha0.75__seed{0,1,2}.json` | module + `reproduce_train_assignments` |
| pairing proof | `artifacts/analysis/..._prototype_snapshot.json` | sha256 across 6 runs/seed |
| seed-level validation score | `results/.../val_per_client.csv` + `val_selection.json` | mean of per-client rare macro-F1 |
| validation global metrics | `results/.../val_confusion_matrix.json` | independent numpy recompute |
| pooled mean/std, `beta_star` | recomputed seed scores | mean/`stdev`, argmax |
| test metrics | `results/.../test_global_metrics.json` + `..._test_descriptive.csv` | independent recompute + mean/std |
| partition characterization | manifests + `..._partition_heterogeneity_*.csv` | independent numpy recompute |
| beta=0 equivalence | original vs beta0 artifacts/snapshots | sha256 + independent aggregation + history diff |
| direct-effect displacement | snapshots + `..._prototype_effect_pooled.csv` | production aggregation |
| client improve/degrade | `results/.../val_per_client.csv` + `..._client_validation_detail.csv` | deltas vs beta=0 |
| rare-class identity | `results/.../rare_unseen.csv` + manifest | recompute definition |
| runtime / RSS | `artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv` (source `/tmp/opencode/5gnidd_alpha075_runtime.csv`) | parse `/usr/bin/time -v`; sum 69,064 s = 19.18 h |
| cross-alpha table | `5gnidd__cross_alpha__*` (built from alpha0.5 + alpha0.75 multiseed artifacts) | read per-condition artifacts |
---
## O. Deviations / corrections found
**None** affecting science. One audit-script (not repository) comparison bug was self-corrected
during the audit: the first version of the audit compared per-seed `test_descriptive.csv` rows to
pooled means; the check was corrected to compare per-seed values against per-seed
`test_global_metrics.json` (max diff then 0.0). No repository artifact, report number, or selection
was affected. No training/aggregation/preprocessing source file was modified.
Informational note (not a defect): two runner instances were accidentally started and immediately
killed before any artifact was written; the final run directory contains exactly the 18 intended
runs (18/18, no duplicates).
---
## P. Final audit verdict
**PASS.**
- Run inventory: **PASS** (18/18; no duplicates/partials; no alpha=0.25 run; no legacy 5G-NIDD
alpha=0.75 run).
- Pairing / manifest reproduction: **PASS** (hash-identical; raw-data reproduction exact incl.
partition hash).
- Partition characterization: **PASS** (4/27, 5 missing, ratios 3.70/11.36/3.87, unseen 2/2/0).
- Rare/unseen integrity: **PASS** (0 mismatches over 1,620 cells).
- Validation recomputation (seed-level and global): **PASS** (exact).
- Pooled selection: **PASS**; independent `beta_star = 0.50` using validation only.
- Validation/test leakage: **PASS**.
- Test summaries: **PASS** (exact).
- beta=0 equivalence: **PASS**, class **B** for all seeds.
- Direct-effect and client-level analyses: **PASS** (consistent with snapshots/artifacts).
- Cross-condition labels: **PASS** (5G-NIDD a0.75 = 0.50 vs a0.50 = 1.00 vs X-IIoTID a0.75 = 0.50;
no causal claim).
- Source/data integrity: **PASS**; `planningawal/` unchanged; raw SHA-256 unchanged;
`equal_available` absent; pytest 75 passed.
Session 10 is **safe to checkpoint** with the documented limitations (single new condition, three
project-defined seeds, weak effect relative to seed variance, `S_j` reproduction assumption, no
global-optimum claim).