From a7f2b0049e99fb66021b4660b82a48d5dbbef072 Mon Sep 17 00:00:00 2001 From: willtanoe Date: Mon, 28 Sep 2026 21:58:30 +0700 Subject: [PATCH] experiment: validate 5gnidd beta selection at alpha 0.50 --- ...ha0.5__multiseed__audit_recomputation.json | 195 + ...alpha0.5__multiseed__beta0_equivalence.csv | 4 + ...5__multiseed__client_validation_deltas.csv | 151 + ...5__multiseed__client_validation_detail.csv | 151 + ...__multiseed__client_validation_summary.csv | 16 + ....5__multiseed__prototype_effect_pooled.csv | 46 + .../5gnidd__alpha0.5__multiseed__runtime.csv | 19 + ...lpha0.5__multiseed__selection_summary.json | 111 + ..._alpha0.5__multiseed__test_descriptive.csv | 19 + ...pha0.5__multiseed__validation_per_seed.csv | 16 + ...alpha0.5__multiseed__validation_pooled.csv | 6 + ...__alpha0.5__partition_characterization.csv | 31 + ...dd__alpha0.5__partition_heterogeneity.json | 111 + ...0.5__partition_heterogeneity_per_class.csv | 28 + ...a0.5__partition_heterogeneity_per_seed.csv | 4 + ...ha0.5__partition_heterogeneity_summary.csv | 2 + ...t_weighted__beta0__prototype_snapshot.json | 11575 +++++++++++++++ ...__prototype_snapshot__prototype_effect.csv | 46 + ..._prototype_snapshot__prototype_weights.csv | 441 + ...t_weighted__beta0__prototype_snapshot.json | 11837 ++++++++++++++++ ...__prototype_snapshot__prototype_effect.csv | 46 + ..._prototype_snapshot__prototype_weights.csv | 451 + ...t_weighted__beta0__prototype_snapshot.json | 11575 +++++++++++++++ ...__prototype_snapshot__prototype_effect.csv | 46 + ..._prototype_snapshot__prototype_weights.csv | 441 + docs/handoff/SESSION_HANDOFF.md | 487 +- .../5GNIDD_ALPHA050_BETA_VALIDATION.md | 495 + docs/research/SESSION9_AUDIT.md | 284 + 28 files changed, 38378 insertions(+), 256 deletions(-) create mode 100644 artifacts/analysis/5gnidd__alpha0.5__multiseed__audit_recomputation.json create mode 100644 artifacts/analysis/5gnidd__alpha0.5__multiseed__beta0_equivalence.csv create mode 100644 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b/docs/handoff/SESSION_HANDOFF.md @@ -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: 2026-09-26 (Session 8). Session 8 type: **protocol-scaling / -non-IID-severity experiment**. Session 7 completed X-IIoTID `alpha=0.25`; Session 6 completed -`alpha=0.50`. Session 8 completed X-IIoTID **`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, and produced the first **three-alpha (0.25/0.50/0.75) -comparison** for X-IIoTID. **5G-NIDD was not run.** No commit or push was made. +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. -> **Audit status (Session 8).** Independent audit verdict: **PASS** (`docs/research/SESSION8_AUDIT.md`). -> `beta_star(alpha=0.75) = 0.50` confirmed from validation only; no corrections required; run -> inventory 18/18; pairing hash-identical and reproduced from raw data; leakage audit PASS; -> `beta=0` class **B**; source/data integrity PASS; pytest 75 passed. **Session 8 is safe to -> checkpoint.** +> **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.** -> **Headline (Session 8).** PRIMARY pooled-validation selected beta for X-IIoTID `alpha=0.75` -> = **0.50** (validation only; per-seed diagnostics 0.50 / 0.50 / 0.00). The pooled validation -> curve peaks at 0.50 and declines both sides, but the total between-beta spread (≈ 0.0081) is -> much smaller than the between-seed std (≈ 0.045). `beta=0` is class **B** for all three seeds. -> Realized alpha=0.75 partitions are the mildest of the three (3/27 cells with `|S_j| < M`, -> 4 missing cells, client-ratio mean 4.67). **Three-alpha pooled selections: 0.25 → 0.00, -> 0.50 → 0.75, 0.75 → 0.50 — not monotone in alpha.** +> **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. --- @@ -30,8 +30,8 @@ comparison** for X-IIoTID. **5G-NIDD was not run.** No commit or push was made. Build the code and experiment infrastructure for a thesis study that modifies **only** the server-side prototype aggregation of PROTEAN (Chennoufi et al., 2025), a federated -intrusion-detection framework. The mechanism weights each contributing client's class -prototype by its class sample support: +intrusion-detection framework. The mechanism weights each contributing client's class prototype +by its class sample support: ``` Cbar_j(beta) = ( sum_{i in S_j} N_ij^beta * C_ij ) / ( sum_{i in S_j} N_ij^beta ) @@ -49,287 +49,267 @@ bitwise identical to the baseline (see §7). - `planningawal/` is immutable. Re-verified unchanged this session: `git status --short planningawal/` and `git diff -- planningawal/` are both empty. - Raw datasets re-verified unchanged (SHA-256): - `~/datasets/X-IIoTID/X-IIoTID-dataset.csv` - `7b9290057ee42e784da3c0d84b781815502c9205c74175c96374e71a5ffd98a0`; `~/datasets/5G-NIDD/5G-NIDD.csv` - `fa36f80859585f474504ca69eb951a079b35145537976c86b00aae3aab46ee59`. -- 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. + `fa36f80859585f474504ca69eb951a079b35145537976c86b00aae3aab46ee59`; + `~/datasets/X-IIoTID/X-IIoTID-dataset.csv` + `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. -## 3. Session 8 objective and outcome +## 3. Session 9 objective and outcome -Objective: evaluate the final X-IIoTID non-IID severity (`alpha=0.75`, seeds `{0,1,2}`) across -the five beta candidates using the exact pooled-validation protocol, then compare alpha=0.25, -0.50 and 0.75 using realized partition characteristics. All 18 runs (15 `support_weighted` + -3 `original_protean`) completed with rc=0. +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. -Outcome: **PRIMARY pooled-validation selected beta = 0.50** (validation only); -`test_used_for_selection = false` for all 15 runs. Pooled means: 0.00 → 0.471706, -0.25 → 0.474368, 0.50 → 0.476749, 0.75 → 0.472541, 1.00 → 0.468605 (peak at 0.50). Between-seed -std 0.0447–0.0553; between-beta spread ≈ 0.0081, so the effect is small relative to seed -variance. +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**. -Reports: `docs/research/ALPHA075_BETA_VALIDATION.md`, -`docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md`, audit `docs/research/SESSION8_AUDIT.md`. +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`. ## 4. Condition and pairing | Field | Value | |---|---| -| dataset / alpha / seeds | `xiiotid` / 0.75 / `{0,1,2}` | +| dataset / alpha / seeds | `5gnidd` / 0.50 / `{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 `ff68d380e23859d21c07c8a3a7b56b1b7f06c91b`; only docs/analysis/scripts added | +| code revision | unchanged from HEAD `2d27abc35026456de765c929dbcf0503a72ac572`; 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 | +| seed | manifest content hash | partition hash | split hash | rng seed | round-0 snapshot SHA-256 | |---|---|---|---|---|---| -| 0 | `artifacts/partitions/xiiotid__alpha0.75__seed0.json` | `759f7e50…` | `473b1c4a…` | `d0acc0c1…` | 957653162 | -| 1 | `artifacts/partitions/xiiotid__alpha0.75__seed1.json` | `4a50ba21…` | `a0ec9e9c…` | `880a9f82…` | 762050403 | -| 2 | `artifacts/partitions/xiiotid__alpha0.75__seed2.json` | `922b7bb1…` | `00345255…` | `8e0db0be…` | 843543396 | +| 0 | `0732582cf4510089…` | `8352d4ff…` | `18f89f48…` | 673621352 | `eb0839f2595727…` | +| 1 | `f43906e111a8342c…` | `0815c91e…` | `3d05b7fe…` | 1403944623 | `6cbd04e0dd97bb…` | +| 2 | `fe8b4fc6f0486cf4…` | `fdcf388e…` | `fc758d06…` | 633461056 | `f012a02b543b92…` | -Pairing proof: round-0 snapshot byte-identical across the five betas **and** `original_protean` -within each seed — seed 0 `8c477df6…`, seed 1 `41f0187c…`, seed 2 `be2ad5fb…`. -`train_support_Nij.csv`, `characterization.csv`, `rare_unseen.csv` identical across each seed's -runs. `manifest_reload_ok = true`, `smoke = false` everywhere. +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 +seed's runs. `manifest_reload_ok = true`, `smoke = false` everywhere. Pairing proven by content +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/xiiotid__alpha0.75__multiseed__validation_per_seed.csv`. +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`. Per-seed validation per-client-mean rare-class macro-F1: | beta | seed 0 | seed 1 | seed 2 | |---|---|---|---| -| 0.00 | 0.496803 | 0.408276 | 0.510038 | -| 0.25 | 0.496892 | 0.421386 | 0.504827 | -| 0.50 | 0.504388 | 0.422919 | 0.502942 | -| 0.75 | 0.486868 | 0.421053 | 0.509702 | -| 1.00 | 0.479146 | 0.419534 | 0.507136 | +| 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 | Pooled across seeds (`...__validation_pooled.csv`): | beta | pooled mean | std (sample) | min | max | selected | |---|---|---|---|---|---| -| 0.00 | 0.471706 | 0.055329 | 0.408276 | 0.510038 | | -| 0.25 | 0.474368 | 0.046055 | 0.421386 | 0.504827 | | -| **0.50** | **0.476749** | 0.046624 | 0.422919 | 0.504388 | **yes** | -| 0.75 | 0.472541 | 0.046028 | 0.421053 | 0.509702 | | -| 1.00 | 0.468605 | 0.044742 | 0.419534 | 0.507136 | | +| 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** | -- **PRIMARY selected beta (`beta_star_alpha075`) = 0.50**, max pooled validation - per-client-mean rare-class macro-F1; **no tie-break used**; selection is validation-only. -- **SECONDARY per-seed diagnostics only:** seed 0 → 0.50, seed 1 → 0.50, seed 2 → 0.00. +- **PRIMARY selected beta (`beta_star_5gnidd_alpha050`) = 1.00**, 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. ## 6. Final test evaluation of the pooled-selected beta -`beta_star = 0.50` was fixed from pooled validation before test was read. +`beta_star = 1.00` was fixed from pooled validation before test was read. | metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) | |---|---|---|---|---| -| rare-class macro-F1 | 0.511889 | 0.624144 | 0.679704 | 0.605246 ± 0.085489 | -| rare-class recall | 0.803887 | 0.876726 | 0.865681 | 0.848765 ± 0.039256 | -| macro-F1 | 0.741977 | 0.761752 | 0.769179 | 0.757636 ± 0.014060 | -| accuracy | 0.914365 | 0.932611 | 0.937352 | 0.928110 ± 0.012137 | -| weighted-F1 | 0.935566 | 0.948344 | 0.951740 | 0.945216 ± 0.008528 | +| 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 | `original_protean` for the same seeds/condition: | metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) | |---|---|---|---|---| -| rare-class macro-F1 | 0.521540 | 0.614061 | 0.676068 | 0.603890 ± 0.077764 | -| rare-class recall | 0.816440 | 0.883238 | 0.869835 | 0.856504 ± 0.035338 | -| macro-F1 | 0.742471 | 0.747395 | 0.765680 | 0.751849 ± 0.012228 | -| accuracy | 0.913254 | 0.913898 | 0.934576 | 0.920576 ± 0.012129 | -| weighted-F1 | 0.932563 | 0.935937 | 0.948908 | 0.939136 ± 0.008629 | +| 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 | Descriptive difference for test rare-class macro-F1 (`beta_star` − `original_protean`) is -−0.009651 / +0.010083 / +0.003636 (mean +0.001356). Test is descriptive only; no superiority -or generalisation claimed. ++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. ## 7. `beta = 0` equivalence result (all three seeds) For seeds 0, 1, 2, `support_weighted beta=0` vs frozen `original_protean`: -- Same manifest/split/hashes: **yes**. -- Round-0 snapshot byte-identical: **yes** (`8c477df6…`, `41f0187c…`, `be2ad5fb…`). -- `train_support_Nij.csv`, `characterization.csv`, `rare_unseen.csv`: **identical**. -- Independent aggregation (`ΣC/n` vs `(1/n)ΣC`): 4.4e-16 / 4.4e-16 / 2.2e-16. -- History rare-macro-F1 max diff (rounds ≥ 1): 1.10e-2 / 8.12e-3 / 3.64e-3; test metric max - diff 4.33e-3 / 1.14e-3 / 0.85e-3. -- Classification: **B — mathematically equivalent + floating-point numerical divergence; no - semantic discrepancy** in any seed. Machine-readable: - `artifacts/analysis/xiiotid__alpha0.75__multiseed__beta0_equivalence.csv`. +- 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. +- Classification: **B** in all seeds — semantic equivalence + floating-point divergence; no + semantic discrepancy. Machine-readable: + `artifacts/analysis/5gnidd__alpha0.5__multiseed__beta0_equivalence.csv`. Conditional on the shared `S_j` reproduction assumption; not proof `beta=0` reproduces original PROTEAN. -## 8. Partition characterization (realized) +## 8. Partition characterization (realized) and dataset structure -`|S_j| < M` class-condition cells, missing client-class cells, and client-size ratios -(training split): +5G-NIDD `alpha=0.50` (training split), `M = 10`: -| condition | `|S_j| < M` cells | missing client-class cells | client-size ratio (seeds) | union unseen | mean class CV | -|---|---|---|---|---|---| -| alpha=0.25 | **19 / 27** | **38** | 15.6, 20.8, 7.8 | 6/6/5 | 1.442 | -| alpha=0.50 | 7 / 27 | 9 | 5.1, 7.2, 9.9 | 3/3/1 | 1.183 | -| alpha=0.75 | **3 / 27** | **4** | 4.15, 5.07, 4.78 | 2/1/0 | 0.881 | +| 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 | -Union rare classes per seed: alpha=0.75 = 4/5/6; all clients have exactly two rare classes. -Full per-class `N_ij`, CV and max/min in `docs/research/ALPHA075_BETA_VALIDATION.md` §C and -`artifacts/analysis/xiiotid__cross_alpha__partition_heterogeneity_*.csv`. Heterogeneity -decreases with alpha overall but is **not uniformly monotone per seed** (alpha=0.75 seed 0 -ratio 4.15 < seed 2's 4.78; alpha=0.50 seed 2 ratio 9.9 > alpha=0.25 seed 2's 7.8), so -interpretation uses realized partitions, not alpha alone. +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 +`...__partition_characterization.csv`. + +### Comparison with X-IIoTID alpha=0.50 (descriptive) + +| statistic | 5G-NIDD a0.50 | X-IIoTID a0.50 | +|---|---|---| +| 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 | + +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. ## 9. Direct prototype-effect findings (fixed round-0 snapshots, no retraining) -`||Cbar_j(1) - Cbar_j(0)||`, cross-seed mean, alpha=0.25 vs 0.50 vs 0.75 (mean across classes -3.422 / 2.099 / **1.305**): +`||Cbar_j(1) − Cbar_j(0)||`, cross-seed mean (std), 5G-NIDD alpha=0.50: -| class | a25 | a50 | a75 | -|---|---|---|---| -| Tampering | 4.248 | 2.354 | 1.934 | -| Exfiltration | 4.316 | 2.020 | 1.448 | -| Exploitation | 3.464 | 2.344 | 1.539 | -| Lateral_movement | 3.726 | 2.724 | 1.369 | -| C&C | 4.020 | 1.694 | 1.284 | -| Weaponization | 3.124 | 2.561 | 1.472 | -| Reconnaissance | 3.339 | 1.002 | 0.983 | -| Normal | 1.997 | 1.557 | 0.903 | -| RDOS | 2.566 | 2.631 | 0.814 | +| 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 | -Displacement tracks realized support imbalance and is a direct-aggregation measure only, not a -detection result. Outputs: -`artifacts/analysis/xiiotid__alpha0.75__multiseed__prototype_effect_pooled.csv` and per-seed -`...__seed{0,1,2}__support_weighted__beta0__prototype_snapshot__prototype_effect.csv`. +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`. ## 10. Client-level findings (validation, vs beta = 0) -Detail: `...__client_validation_detail.csv`; summary: `...__client_validation_summary.csv`; and -`artifacts/analysis/xiiotid__cross_alpha__cross_alpha_client_summary.csv`. +Detail: `...__client_validation_detail.csv`; summary: `...__client_validation_summary.csv`. -- At alpha=0.75, the response is smaller and seed-dependent. At the selected `beta=0.50`: - 6/4/0 (seed 0, mean Δ +0.008), 9/0/1 (seed 1, +0.015), 6/4/0 (seed 2, −0.007; worst client - −0.152). -- At a common `beta=0.75`: alpha=0.25 = 5/4/1, 5/4/1, 3/5/2 (often negative); alpha=0.50 = - 7/3/0, 8/1/1, 8/1/1 (majority improve); alpha=0.75 = 3/7/0, 9/0/1, 5/5/0. -- `N_ij` vs ΔF1 remains non-monotonic at every alpha. Client ids are per-seed realisations and - are not pooled. +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. -## 11. Three-alpha comparison (RQ3) +## 11. Runtime / resources -| | alpha=0.25 | alpha=0.50 | alpha=0.75 | -|---|---|---|---| -| pooled-selected beta | **0.00** | **0.75** | **0.50** | -| pooled validation curve | monotone decreasing | rises to peak at 0.75 | peaks at 0.50 | -| pooled mean range (spread) | 0.532–0.592 (0.060) | 0.544–0.579 (0.035) | 0.469–0.477 (0.008) | -| pooled std range | 0.045–0.090 | 0.075–0.100 | 0.045–0.055 | -| `|S_j| < M` cells | 19/27 | 7/27 | 3/27 | -| mean `||Cbar(1)−Cbar(0)||` | 3.422 | 2.099 | 1.305 | +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`. -The pooled-selected beta **changes** with the non-IID condition (0.00 → 0.75 → 0.50) but is -**not monotone** in alpha. This is documented as a descriptive association accompanied by the -realized partition characteristics; **no causal claim** is made. With only three alpha levels, -three project-defined seeds, one dataset and no inferential trend test, monotonicity is not -claimed. +## 12. Methodological decisions / assumptions -> **Audited label (do not confuse).** Condition-level **pooled** selections are alpha=0.25 → -> **0.00**, alpha=0.50 → **0.75**, alpha=0.75 → **0.50**. The value **0.50** is *not* the -> alpha=0.50 pooled selection: it is only the Session-5 **seed-0 single-condition** choice, the -> Session-6 alpha=0.50 **per-seed diagnostic** for seed 0, and now the alpha=0.75 pooled -> selection. See `docs/research/SESSION7_AUDIT.md` §M and `SESSION8_AUDIT.md` §M. - -## 12. Runtime / resources - -CPU only, no GPU, no swap, exit 0 on all 18 runs. Per-run wall-clock 40:00–49:02 (two runs -slower under transient host contention); CPU 714–746 %; peak RSS 6.49 GiB (seed 0), 6.91 GiB -(seed 1), 7.20 GiB (seed 2). New compute: 18 runs, 44,371 s ≈ **12.33 h** wall-clock, -sequential (8 cores). Machine-readable: -`artifacts/analysis/xiiotid__alpha0.75__multiseed__runtime.csv`. - -## 13. 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 19/27 class-condition cells at - alpha=0.25, 7/27 at alpha=0.50, 3/27 at alpha=0.75. Carry this caveat in all reporting. +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. 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. Three new read-only analysis scripts were added this session (no training/aggregation code - changed): `scripts/analyze_partition_heterogeneity.py`, - `scripts/verify_beta0_equivalence.py`, `scripts/analyze_cross_alpha.py`. +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). 6. `lambda=1.0`, Adam, lr 1e-3, batch 256 remain PROJECT DECISIONS. No `equal_available` mode. -## 14. Unresolved questions / blockers +## 13. Unresolved questions / blockers 1. `S_j` reproduction ambiguity — unresolved; no official PROTEAN code exists. -2. **Pooled beta selection remains statistically weak at all three alphas (descriptive only):** - the across-seed sample std is comparable to or larger than the between-beta spread. No - inferential test was performed. -3. `beta = 0` is not bitwise identical to `original_protean`; the documentation decision on how - to report this remains open. +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. +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 alpha=0.25/0.50/0.75, X-IIoTID, three seeds measured. No 5G-NIDD beta result. -6. The three-alpha selected-beta sequence (0.00 / 0.75 / 0.50) is **not monotone**; no trend - claim is made and no inference has been run. +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. -## 15. Git status +## 14. Git status -No commit or push was made. `git status --short` shows only untracked docs/analysis/run -artifacts and the three new scripts (`results/` is gitignored; `artifacts/analysis/` is -intentionally tracked): +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: ``` M docs/handoff/SESSION_HANDOFF.md -?? docs/research/ALPHA075_BETA_VALIDATION.md -?? docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md -?? docs/research/SESSION8_AUDIT.md -?? scripts/analyze_cross_alpha.py -?? scripts/analyze_partition_heterogeneity.py -?? scripts/verify_beta0_equivalence.py -?? artifacts/analysis/xiiotid__alpha0.75__* (runs' snapshots, effect CSVs, multiseed tables) -?? artifacts/analysis/xiiotid__cross_alpha__* (heterogeneity, cross-alpha tables) -?? (pre-existing Session-5/6/7 untracked alpha=0.25/0.5 views, unchanged) +?? 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) ``` No tracked source/test/config file differs from HEAD. `planningawal/` and both raw datasets are -unchanged (audit re-verified SHA-256: X-IIoTID `7b929005…`, 5G-NIDD `fa36f808…`). -`artifacts/partitions/` unmodified. No 5G-NIDD `support_weighted` run exists. `equal_available` -absent. `HEAD = ff68d380e23859d21c07c8a3a7b56b1b7f06c91b`. No commit or push was made. +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/`). -## 16. Session 8 audit result +## 15. Session 9 audit result -- Verdict: **PASS** (`docs/research/SESSION8_AUDIT.md`). +- Verdict: **PASS** (`docs/research/SESSION9_AUDIT.md`). - Run inventory 18/18, pairing hash-identical, manifests reproduced from raw data. -- Validation recomputed exactly; **pooled `beta_star(alpha=0.75) = 0.50`** (validation only). - `beta_star` test and `original_protean` test means/stds exact. +- Validation recomputed exactly; **pooled `beta_star(5gnidd, alpha=0.50) = 1.00`** (validation + only). Selected-beta test and `original_protean` test means/stds exact. - Leakage audit PASS; `test_used_for_selection=false` upheld. -- `beta=0` equivalence: class **B** for all three seeds (no semantic discrepancy). -- Direct-effect, client-level, rare/unseen, cross-alpha labels: PASS. +- 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**. -## 17. Files created / modified this session +## 16. Files created / modified this session Created: -- `docs/research/ALPHA075_BETA_VALIDATION.md` -- `docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md` -- `docs/research/SESSION8_AUDIT.md` -- `scripts/analyze_partition_heterogeneity.py` -- `scripts/verify_beta0_equivalence.py` -- `scripts/analyze_cross_alpha.py` -- `artifacts/analysis/xiiotid__alpha0.75__*` (run snapshots, effect/weights CSVs, multiseed - tables, `beta0_equivalence.csv`, `runtime.csv`) -- `artifacts/analysis/xiiotid__cross_alpha__*` (partition heterogeneity per-seed/per-class/summary, - cross-alpha beta table/displacement/client summary/summary) -- `results/xiiotid__alpha0.75__seed{0,1,2}__*` (18 run dirs, gitignored) +- `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) Modified: @@ -337,86 +317,81 @@ Modified: No source or test code was changed. -## 18. Exact recommended next phase +## 17. Exact recommended next phase -1. **Session 8 is audited and safe to checkpoint** (verdict PASS; see §16 and - `docs/research/SESSION8_AUDIT.md`). X-IIoTID alpha=0.75 behaved cleanly. Before - checkpointing, stage only the intended docs/scripts/analysis artifacts; do not commit - `results/` or the raw datasets. -2. **X-IIoTID three-alpha study is complete** (0.25, 0.50, 0.75 × seeds `{0,1,2}`), with - audited condition-level pooled selections 0.00 / 0.75 / 0.50 and a cross-alpha report. -3. **Next major phase: 5G-NIDD.** Follow the same protocol (the planned alphas `{0.75, 0.50, - 0.25}`, seeds `{0,1,2}`, five betas + `original_protean`, frozen manifests, pooled - validation-only selection). Do **not** launch the full grid blindly: verify 5G-NIDD manifests - exist and reproduce, run the same one-condition-at-a-time pacing, and measure runtime first. - A single smoke/one-condition run before scaling is recommended. -4. Do **not** treat any selected beta as an optimum. Report each as "best among tested - candidates under pooled validation for that condition". -5. Do **not** infer a monotone alpha→beta relation from three X-IIoTID conditions. -6. Update `EXPERIMENT_PROTOCOL.md` only if a real ambiguity appears; update this handoff. -7. Do not commit or push unless asked. +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 + 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. +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. -## 19. Important commands +## 18. Important commands ```bash # Tests (75 expected) .venv/bin/python -m pytest -# One full paired beta run (CPU, ~40 min, ~6.5-7.2 GiB) -.venv/bin/python scripts/run_baseline.py --dataset xiiotid --alpha 0.75 --seed 1 \ +# 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 \ --clients 10 --rounds 10 --local-epochs 3 \ - --aggregation-mode support_weighted --beta 0.5 + --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 xiiotid --alpha 0.75 --seeds 0 1 2 +.venv/bin/python scripts/analyze_multiseed_beta.py --dataset 5gnidd --alpha 0.5 --seeds 0 1 2 # Direct prototype-effect analysis (no retraining) .venv/bin/python scripts/analyze_prototype_effect.py \ - --snapshot artifacts/analysis/xiiotid__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot.json \ - --class-names "C&C,Exfiltration,Exploitation,Lateral_movement,Normal,RDOS,Reconnaissance,Tampering,Weaponization" \ + --snapshot artifacts/analysis/5gnidd__alpha0.5__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 (all alphas) -.venv/bin/python scripts/analyze_partition_heterogeneity.py --dataset xiiotid --alphas 0.75 0.5 0.25 +# Realized partition characterization +.venv/bin/python scripts/analyze_partition_heterogeneity.py --dataset 5gnidd --alphas 0.5 # beta=0 equivalence audit -.venv/bin/python scripts/verify_beta0_equivalence.py --dataset xiiotid --alpha 0.75 --seeds 0 1 2 - -# Cross-alpha comparison -.venv/bin/python scripts/analyze_cross_alpha.py --dataset xiiotid --alphas 0.25 0.5 0.75 +.venv/bin/python scripts/verify_beta0_equivalence.py --dataset 5gnidd --alpha 0.5 --seeds 0 1 2 ``` -## 20. Recommended next-session prompt +## 19. Recommended next-session prompt ``` -You are continuing the perdalam-protean research repository (Session 9). +You are continuing the perdalam-protean research repository (Session 10). FIRST, read completely: 1. docs/handoff/SESSION_HANDOFF.md - 2. docs/research/ALPHA075_BETA_VALIDATION.md - 3. docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md - 4. docs/research/SESSION8_AUDIT.md - 5. docs/research/EXPERIMENT_PROTOCOL.md - 6. docs/baseline/BASELINE_VALIDATION.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 Critical rules: - planningawal/ is immutable. - - ~/datasets/X-IIoTID/X-IIoTID-dataset.csv and ~/datasets/5G-NIDD/5G-NIDD.csv are read-only. - - The S_j participant rule is a REPRODUCTION ASSUMPTION (material in 19/27 cells at alpha=0.25). + - ~/datasets/5G-NIDD/5G-NIDD.csv and ~/datasets/X-IIoTID/X-IIoTID-dataset.csv are read-only. + - 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 blindly; verify manifests and pace one condition at a time. + - Do NOT launch the full grid; run one condition at a time (~19 h per 5G-NIDD condition). -Context: Session 8 completed X-IIoTID alpha=0.75 for seeds {0,1,2} (18 runs, ~12.33 h) and was -independently audited (PASS; docs/research/SESSION8_AUDIT.md). Pooled validation selected -beta=0.50. Three-alpha X-IIoTID pooled selections: alpha=0.25 -> 0.00, alpha=0.50 -> 0.75, -alpha=0.75 -> 0.50 (NOT monotone). beta=0 equivalence class B. Realized heterogeneity: 19/27, -7/27, 3/27 cells |S_j| 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 (reused, never regenerated) + +Train/validation/test sizes are 851,123 / 121,589 / 243,177 for every seed (10 clients, 9 +classes, `Benign`). Each manifest was independently reproduced from the raw dataset during Stage A +(`prepare_dataset` → `reproduce_train_assignments`): exact `N_ij` match and partition-hash match +for all three seeds (and, as a side check, for alpha=0.25/0.75). + +| seed | manifest | content hash | partition hash | split hash | rng seed | +|---|---|---|---|---|---| +| 0 | `artifacts/partitions/5gnidd__alpha0.5__seed0.json` | `0732582c…` | `8352d4ff…` | `18f89f48…` | 673621352 | +| 1 | `artifacts/partitions/5gnidd__alpha0.5__seed1.json` | `f43906e1…` | `0815c91e…` | `3d05b7fe…` | 1403944623 | +| 2 | `artifacts/partitions/5gnidd__alpha0.5__seed2.json` | `fe8b4fc6…` | `fdcf388e…` | `fc758d06…` | 633461056 | + +`preprocessing_hash` / `config_hash` remain `null` in these Session-2 manifests (known limitation, +carry-over from X-IIoTID). + +### 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` are identical +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 | `0732582cf4510089…` | `eb0839f25957274a6bc42532c07b89826cf66c581ac05d197a10333a21bc467f` | +| 1 | `f43906e111a8342c…` | `6cbd04e0dd97bbe0dad733f654962a115cef54e126ab2c4e58d853ac0b249afb` | +| 2 | `fe8b4fc6f0486cf4…` | `f012a02b543b926a9df31134e06bf442ed832b35cdeb9aba1f20d404e8b93687` | + +--- + +## C. Structural 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. + +### C.1 Per-seed summary + +| 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 | 2 | 15,388 / 178,993 (11.63) | 6 | 2 | 1 | +| 1 | 0 / 9 | 0 | 31,613 / 140,144 (4.43) | 5 | 0 | 0 | +| 2 | 2 / 9 | 2 | 20,087 / 255,463 (12.72) | 6 | 2 | 1 | +| **total / mean** | **4 / 27** | **4** | ratio mean **9.59** | 6/5/6 | 2/0/2 | 1 | + +All 10 clients have exactly two rare classes in every seed, so all 10 are eligible for rare-class +evaluation. Missing cells are only ever single-client gaps in the two smallest attack classes +(e.g. seed 0: `ICMPFlood` absent on client 3, `SYNFlood` absent on client 4). Rare classes are +dominated by `ICMPFlood` (always rare) and one of `SYNFlood`/`TCPConnectScan`/`UDPScan`/ +`HTTPFlood`/`SYNScan`. + +### C.2 Per-class `N_ij` inequality (training split) + +`CV` is the population coefficient of variation of the positive supports within a class; +`max/min` is over contributing clients only. Machine-readable: +`artifacts/analysis/5gnidd__alpha0.5__partition_heterogeneity_per_class.csv`. + +**Seed 0** + +| class | total | #clients | min+ | max | CV | max/min | +|---|---|---|---|---|---|---| +| Benign | 334,415 | 10 | 226 | 108,257 | 1.069 | 479 | +| HTTPFlood | 98,569 | 10 | 185 | 61,393 | 1.779 | 332 | +| ICMPFlood | 808 | 9 | 8 | 243 | 0.809 | 30.4 | +| SYNFlood | 6,805 | 9 | 2 | 3,250 | 1.318 | 1,625 | +| SYNScan | 14,030 | 10 | 11 | 6,713 | 1.414 | 610 | +| SlowrateDoS | 51,187 | 10 | 80 | 28,363 | 1.783 | 355 | +| TCPConnectScan | 14,037 | 10 | 1 | 4,175 | 0.982 | 4,175 | +| UDPFlood | 320,138 | 10 | 1 | 88,943 | 0.896 | 88,943 | +| UDPScan | 11,134 | 10 | 14 | 3,420 | 0.966 | 244 | + +Seeds 1 and 2 are in the machine-readable file; the notable pattern is that even though the +number of *missing* cells is tiny, the per-class support is strongly imbalanced for the rare +classes (`TCPConnectScan`, `SYNFlood`, `UDPFlood` max/min in the hundreds–thousands). The mean +class-support CV across seeds is **1.225** (1.224 / 1.051 / 1.401). + +### C.3 Rare/unseen identity + +Per-seed union rare classes (ids in brackets): seed 0 = `{ICMPFlood, SYNFlood, SYNScan, +TCPConnectScan, UDPFlood, UDPScan}`; seed 1 = `{ICMPFlood, SYNFlood, SYNScan, TCPConnectScan, +UDPScan}`; seed 2 = `{ICMPFlood, HTTPFlood, SYNFlood, SYNScan, UDPFlood, UDPScan}`. Unseen unions: +seed 0 = `{ICMPFlood, SYNFlood}` (one client each), seed 1 = `{}`, seed 2 = +`{TCPConnectScan, UDPScan}`. Full per-client detail: +`artifacts/analysis/5gnidd__alpha0.5__partition_characterization.csv`. + +--- + +## D. Existing seed-0 baseline reuse decision + +A pre-existing artifact `results/5gnidd__alpha0.5__seed0__original_protean` (Session-5 era) was +inspected before training and **was not reused**. It contains the frozen training outputs +(`history.json`, `test_*`, `per_client.csv`, `characterization.csv`, `rare_unseen.csv`, +`train_support_Nij.csv`, `metadata.json`) and a round-0 snapshot, but **no validation artifacts** +(`val_selection.json`, `val_per_client.csv`, `val_global_metrics.json`, `val_confusion_matrix.json`, +`val_per_class.csv`). Under the frozen protocol the pooled selection metric requires +`val_selection.json` / `val_per_client.csv`, and pairing/`beta=0` equivalence require re-runnable +validation artifacts; the old directory therefore fails the "complete artifacts" reuse criterion. + +The directory was backed up to `/tmp/opencode/s9/old_baseline_backup/` and **all 18 runs were +re-executed**. As a determinism check, the fresh seed-0 `original_protean` run reproduces the old +artifact **exactly**: `history.json` is byte-identical and every test metric is identical +(e.g. rare-class macro-F1 `0.8719637151922778`, accuracy `0.7344156725348203`). The old baseline +was therefore methodologically sound but structurally incomplete for the validation protocol. + +--- + +## E. 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 `2d27abc35026456de765c929dbcf0503a72ac572`. + +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. + +--- + +## F. Per-seed validation results + +`val rareMacroF1 (pc mean)` is the primary metric; all 10 clients eligible in every seed. +Machine-readable: `artifacts/analysis/5gnidd__alpha0.5__multiseed__validation_per_seed.csv`. + +### Seed 0 + +| beta | eligible | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc | +|---|---|---|---|---|---|---| +| 0.00 | 10 | 0.738597 | 0.869471 | 0.971734 | 0.835222 | 0.735708 | +| 0.25 | 10 | 0.661461 | 0.826591 | 0.971734 | 0.804446 | 0.733586 | +| 0.50 | 10 | 0.764487 | 0.877274 | 0.971734 | 0.844008 | 0.738932 | +| 0.75 | 10 | 0.750661 | 0.866155 | 0.971734 | 0.846984 | 0.747313 | +| **1.00** | 10 | **0.768877** | 0.878253 | 0.971734 | 0.847921 | 0.743390 | + +### Seed 1 + +| beta | eligible | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc | +|---|---|---|---|---|---|---| +| **0.00** | 10 | **0.633243** | 0.923637 | 0.970682 | 0.866358 | 0.746638 | +| 0.25 | 10 | 0.573717 | 0.903669 | 0.970682 | 0.854134 | 0.745594 | +| 0.50 | 10 | 0.563388 | 0.897248 | 0.970682 | 0.842769 | 0.739434 | +| 0.75 | 10 | 0.543319 | 0.875983 | 0.970682 | 0.830737 | 0.739360 | +| 1.00 | 10 | 0.531764 | 0.849605 | 0.970682 | 0.820473 | 0.743052 | + +### Seed 2 + +| beta | eligible | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc | +|---|---|---|---|---|---|---| +| 0.00 | 10 | 0.689849 | 0.837430 | 0.971518 | 0.817547 | 0.750010 | +| 0.25 | 10 | 0.700055 | 0.841150 | 0.968867 | 0.817724 | 0.749459 | +| 0.50 | 10 | 0.696131 | 0.838533 | 0.958948 | 0.813338 | 0.745158 | +| 0.75 | 10 | 0.771124 | 0.884167 | 0.953065 | 0.841394 | 0.742304 | +| **1.00** | 10 | **0.776468** | 0.887075 | 0.954616 | 0.843904 | 0.743431 | + +The per-seed curves are **non-monotone and seed-dependent**: seed 0 rises to a peak at 1.00 with a +sharp dip at 0.25; seed 1 is monotone decreasing (best at 0.00); seed 2 rises then is nearly flat +at 0.75–1.00. + +--- + +## G. Per-seed diagnostic beta choices (SECONDARY, stability only) + +| seed | selected beta | val rareMacroF1 (pc mean) | tie-break used | test_used_for_selection | +|---|---|---|---|---| +| 0 | 1.00 | 0.768877 | no | false | +| 1 | 0.00 | 0.633243 | no | false | +| 2 | 1.00 | 0.776468 | 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. + +--- + +## H. PRIMARY pooled-across-seed validation selection + +| beta | pooled mean | std (sample, ddof=1) | min | max | pooled val rareRecall (pc mean) | selected | +|---|---|---|---|---|---|---| +| 0.00 | 0.687230 | 0.052726 | 0.633243 | 0.738597 | 0.947737 | | +| 0.25 | 0.645078 | 0.064743 | 0.573717 | 0.700055 | 0.946862 | | +| 0.50 | 0.674669 | 0.102253 | 0.563388 | 0.764487 | 0.943659 | | +| 0.75 | 0.688368 | 0.126032 | 0.543319 | 0.771124 | 0.941915 | | +| **1.00** | **0.692370** | 0.139140 | 0.531764 | 0.776468 | 0.942301 | **yes** | + +- **PRIMARY selected beta (`beta_star_5gnidd_alpha050`) = 1.00.** +- **Criterion:** maximum pooled validation per-client-mean rare-class macro-F1 (validation only). +- **Tie-break used:** no. Top-two beta = 1.00 (0.692370) vs 0.75 (0.688368); gap ≈ **4.0e-3**. +- **`test_used_for_selection = false`.** Test metrics were not inspected until the pooled beta was + fixed. +- **Interpretation:** `beta = 1.00` is the *best among the tested candidates under pooled + validation across seeds `{0,1,2}` for 5G-NIDD alpha=0.50*. It is **not** a global optimum. The + pooled validation curve is non-monotone (0.687 → 0.645 → 0.675 → 0.688 → 0.692), the total + between-beta spread is ≈ **0.047**, and the across-seed std is **0.053–0.139** — comparable to or + larger than the between-beta spread, so the selection is statistically weak. The pooled win is + driven by seeds 0 and 2 (+0.030 and +0.087 at beta=1 vs beta=0) outweighing seed 1's large loss + (−0.101), for a net +0.005 over beta=0. + +Machine-readable: `artifacts/analysis/5gnidd__alpha0.5__multiseed__validation_pooled.csv`, +`...__selection_summary.json`. + +--- + +## I. Final selected-beta test metrics (descriptive only) + +`beta_star = 1.00` 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 | 0.880962 | 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 | + +Note the global rare support is very different per seed (104,843 / 13,375 / 128,995), because the +training-derived union of rare classes differs by seed; cross-seed absolute levels are therefore +not directly comparable. + +--- + +## J. `original_protean` comparison + +| 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 | + +Descriptive difference (`beta_star` − `original_protean`) for test rare-class macro-F1 is +**+0.008998** (seed 0), **−0.081061** (seed 1), **+0.046389** (seed 2); mean **−0.008558**. Seed 1 +moves strongly the opposite way to seeds 0 and 2, and the magnitude is far smaller than the +between-seed std (≈ 0.03–0.04). No superiority or generalisation is claimed; this is one dataset, +one alpha, three project-defined seeds. Test columns: +`artifacts/analysis/5gnidd__alpha0.5__multiseed__test_descriptive.csv`. + +A descriptive dataset-level observation: on 5G-NIDD, test weighted-F1 (`≈0.718`) is **below** +accuracy (`≈0.744`), i.e. the high-support classes (`Benign`, `UDPFlood`) are the harder ones for +nearest-prototype inference. This is the opposite of X-IIoTID (weighted-F1 > accuracy) and is a +dataset characteristic, not a beta effect. + +--- + +## K. `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 (`eb0839f2…`) | yes (`6cbd04e0…`) | yes (`f012a02b…`) | +| 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) | 1.93e-2 | 6.01e-2 | 2.60e-2 | +| test metric max abs diff | 2.33e-3 | 1.86e-4 | 8.70e-3 | +| **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. The downstream divergence is +somewhat larger than at X-IIoTID (5G-NIDD training is more sensitive to the tiny round-1 +difference), but it remains pure floating-point divergence, not a semantic difference. 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__alpha0.5__multiseed__beta0_equivalence.csv`. + +--- + +## L. 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 | 3.461 | 2.011 | 0.424 | 10 | +| HTTPFlood | 3.120 | 1.289 | 0.433 | 10 | +| SYNScan | 2.875 | 0.959 | 0.396 | 10 | +| SlowrateDoS | 2.763 | 1.454 | 0.454 | 10 | +| SYNFlood | 2.262 | 0.748 | 0.658 | 9 | +| TCPConnectScan | 2.131 | 0.213 | 0.575 | 10 | +| Benign | 1.690 | 0.699 | 0.296 | 10 | +| UDPFlood | 1.598 | 0.428 | 0.300 | 10 | +| ICMPFlood | 1.159 | 0.093 | 0.321 | 9 | + +- Mean displacement across the nine classes is **2.340** at beta=1.0, monotone in beta + (0.25 → 0.953, 0.50 → 1.567, 0.75 → 2.003, 1.00 → 2.340). +- Displacement is **seed-sensitive**: e.g. `UDPScan` 1.42 (seed 0) / 3.52 (seed 1) / 5.44 + (seed 2); `HTTPFlood` 2.40 / 2.36 / 4.61. The largest displacements are the rare, support- + imbalanced classes; `Benign`/`UDPFlood` move least. +- Even classes with a single missing contributor (`ICMPFlood`, `SYNFlood`) move, because the + weighting changes among the 9–10 contributors, not because of the missing one. +- 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 §H/§I. + +Outputs: `artifacts/analysis/5gnidd__alpha0.5__seed{0,1,2}__support_weighted__beta0__prototype_snapshot__prototype_effect.csv` +and `...__prototype_weights.csv`; cross-seed aggregate +`artifacts/analysis/5gnidd__alpha0.5__multiseed__prototype_effect_pooled.csv`. + +--- + +## M. 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. + +Improve / degrade / unchanged counts (tolerance 1e-9): + +| seed | beta | improve | degrade | unchanged | mean Δ | min Δ | max Δ | +|---|---|---|---|---|---|---|---| +| 0 | 0.25 | 2 | 7 | 1 | −0.0771 | −0.2036 | +0.0304 | +| 0 | 0.50 | 7 | 2 | 1 | +0.0259 | −0.0343 | +0.0699 | +| 0 | 0.75 | 5 | 4 | 1 | +0.0121 | −0.0679 | +0.0713 | +| 0 | **1.00** | **6** | **3** | **1** | **+0.0303** | −0.0884 | +0.1034 | +| 1 | 0.25 | 3 | 3 | 4 | −0.0595 | −0.3231 | +0.0125 | +| 1 | 0.50 | 3 | 5 | 2 | −0.0699 | −0.4231 | +0.0181 | +| 1 | 0.75 | 3 | 5 | 2 | −0.0899 | −0.5481 | +0.0240 | +| 1 | **1.00** | **3** | **5** | **2** | **−0.1015** | −0.6564 | +0.0631 | +| 2 | 0.25 | 5 | 4 | 1 | +0.0102 | −0.0262 | +0.0726 | +| 2 | 0.50 | 5 | 4 | 1 | +0.0063 | −0.0442 | +0.0738 | +| 2 | 0.75 | 7 | 2 | 1 | +0.0813 | −0.0305 | +0.1974 | +| 2 | **1.00** | **7** | **2** | **1** | **+0.0866** | −0.0337 | +0.2016 | + +- The response is strongly seed-dependent. At the selected `beta = 1.00`, seeds 0 and 2 improve + on 6/10 and 7/10 clients with positive mean Δ (+0.030, +0.087), while seed 1 degrades 5/10 with + mean Δ −0.101, dominated by a single client at **−0.656**. +- `N_ij` vs ΔF1 is **non-monotonic**: the worst negative delta in seed 1 (client 2) has + `min positive attack N_ij = 45` (not the lowest-support client), while some very low-support + clients (`min N_ij = 1`) improve strongly. +- This analysis is descriptive and non-causal. + +--- + +## N. Runtime and resources + +CPU only, no GPU, no swap, exit status 0 for every run (`/usr/bin/time -v`). Full table: +`artifacts/analysis/5gnidd__alpha0.5__multiseed__runtime.csv`. + +| seed | aggregation | wall | CPU % | peak RSS | +|---|---|---|---|---| +| 0 | `original_protean` | 62:28 | 745 | 10.36 GiB | +| 0 | beta 0.00 | 63:37 | 745 | 10.37 GiB | +| 0 | beta 0.25 | 62:56 | 744 | 10.36 GiB | +| 0 | beta 0.50 | 63:26 | 743 | 10.36 GiB | +| 0 | beta 0.75 | 63:35 | 742 | 10.39 GiB | +| 0 | beta 1.00 | 64:25 | 741 | 10.36 GiB | +| 1 | `original_protean` | 63:57 | 742 | 8.67 GiB | +| 1 | beta 0.00 | 66:26 | 738 | 8.67 GiB | +| 1 | beta 0.25 | 68:25 | 734 | 8.69 GiB | +| 1 | beta 0.50 | 64:57 | 740 | 8.67 GiB | +| 1 | beta 0.75 | 65:30 | 740 | 8.67 GiB | +| 1 | beta 1.00 | 64:41 | 741 | 8.67 GiB | +| 2 | `original_protean` | 63:44 | 740 | 14.04 GiB | +| 2 | beta 0.00 | 63:39 | 739 | 14.05 GiB | +| 2 | beta 0.25 | 63:29 | 740 | 14.03 GiB | +| 2 | beta 0.50 | 63:14 | 739 | 14.06 GiB | +| 2 | beta 0.75 | 63:38 | 739 | 14.06 GiB | +| 2 | beta 1.00 | 63:29 | 739 | 14.07 GiB | + +- New compute this session: **18 runs, 69,336 s ≈ 19.26 h** wall-clock, sequential on an 8-core + host. +- Per-run wall time is homogeneous (62–68 min). Peak RSS is partition-dependent, not beta- + dependent: ~10.4 GiB (seed 0), ~8.67 GiB (seed 1), ~14.04 GiB (seed 2), all within the 29 GiB + host. 5G-NIDD uses more memory than X-IIoTID (≈8.7–14.0 GiB vs ≈6.5–7.2 GiB) because the + training split is ~1.5× larger. +- No warnings, no client failures, 9/9 global prototypes in every round, no retries. + +--- + +## O. Comparison with X-IIoTID alpha = 0.50 (descriptive only) + +X-IIoTID alpha=0.50 reference: pooled-selected `beta = 0.75` +(`docs/research/MULTISEED_BETA_VALIDATION.md`, `XIIOTID_CROSS_ALPHA_ANALYSIS.md`). + +| statistic | 5G-NIDD alpha=0.50 | X-IIoTID alpha=0.50 | +|---|---|---| +| classes (attack) | 9 (8) | 9 (8) | +| training rows | 851,123 | 569,909 | +| 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 (seeds / mean) | 11.63 / 4.43 / 12.72 (**9.59**) | 5.11 / 7.22 / 9.89 (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 | +| max unseen on a client | 1 | 2 | +| mean displacement `‖Cbar(1)−Cbar(0)‖` | 2.340 | 2.099 | +| selected-beta client improve/degrade (per seed) | 6/3, 3/5, 7/2 | 7/3, 8/1, 8/1 | + +Observations (descriptive, two datasets, one condition each, no causal claim): + +- 5G-NIDD alpha=0.50 has **fewer missing class cells** (4 vs 9) but **more imbalanced client + sizes** (mean ratio 9.59 vs 7.41); its mean support CV and mean prototype displacement are + slightly higher, and it has a single-client unseen-class structure (max 1 vs 2). +- The pooled validation selection differs across datasets (5G-NIDD → 1.00, X-IIoTID → 0.75) and + the 5G-NIDD curve is non-monotone. At both datasets the between-seed std is comparable to or + larger than the between-beta spread, so both selections are statistically weak. +- The client-level response is seed-dependent on both datasets; X-IIoTID alpha=0.50 improved on a + majority of clients in all three seeds, whereas 5G-NIDD's seed 1 degrades. +- **No claim** is made that the dataset explains the selected beta, and no generalisation beyond + these two observed conditions is offered. + +--- + +## P. Limitations + +- **One new condition** (5G-NIDD alpha=0.50). No 5G-NIDD alpha=0.25/0.75 result exists; no + cross-alpha 5G-NIDD claim is possible. 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 = 1.00` 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=0.50 it is material in + only **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. +- The union of rare classes (and hence global rare support) differs by seed; only the per-client + mean metric is directly comparable within the condition. +- `preprocessing_hash`/`config_hash` remain `null` in the 5G-NIDD manifests. +- **No global beta optimum claim**; test metrics did not influence selection. diff --git a/docs/research/SESSION9_AUDIT.md b/docs/research/SESSION9_AUDIT.md new file mode 100644 index 0000000..0ad7007 --- /dev/null +++ b/docs/research/SESSION9_AUDIT.md @@ -0,0 +1,284 @@ +# Session 9 Post-Experiment Audit (5G-NIDD alpha=0.50) + +Status: **PASS.** Independent recomputation from machine-readable artifacts and the raw dataset +confirms every Session-9 Stage-B claim for 5G-NIDD `alpha=0.50`. No discovered issue changes +`beta_star` or the scientific interpretation. No corrections were required. **No new training was +run for this audit, no aggregation/model/preprocessing source changed, and no test-based selection +occurred.** + +Audit performed: 2026-09-28. Audited HEAD: `2d27abc35026456de765c929dbcf0503a72ac572`. +Machine-readable audit record: +`artifacts/analysis/5gnidd__alpha0.5__multiseed__audit_recomputation.json`. + +Companion documents: `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-9 claim for: + +- dataset `5gnidd`, alpha `0.50`, 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 = 1.00` using validation per-client + rare-class macro-F1 averaged within seed then across seeds; +- reuse decision for the pre-existing seed-0 baseline; +- `beta=0` equivalence class; +- cross-dataset label (5G-NIDD 1.00 vs X-IIoTID alpha=0.50 0.75). + +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/*/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 (`artifacts/analysis/5gnidd__alpha0.5__seed*__*__prototype_snapshot.json`). +- Metadata verified per run: dataset=5gnidd, alpha=0.5, 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 or alpha=0.75; no `support_weighted` 5G-NIDD run older than + this session 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 | `0732582cf4510089…` | `eb0839f2595727…` | 1 / 1 / 1 | +| 1 | `f43906e111a8342c…` | `6cbd04e0dd97bb…` | 1 / 1 / 1 | +| 2 | `fe8b4fc6f0486cf4…` | `f012a02b543b92…` | 1 / 1 / 1 | + +Each alpha=0.5 manifest was independently reproduced from the raw dataset +(`prepare_dataset` → `reproduce_train_assignments`): exact `N_ij` match and partition-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. As a side check, alpha=0.25/0.75 5G-NIDD +manifests also reproduced exactly. + +--- + +## D. Partition characterization audit + +Independently recomputed from the manifests; matches the report exactly: + +| statistic | seed 0 / 1 / 2 | reality (sum) | +|---|---|---| +| `|S_j| < M` cells | 2 / 0 / 2 | **4 / 27** | +| missing client-class cells | 2 / 0 / 2 | **4** | +| client-size ratio | 11.63 / 4.43 / 12.72 | mean **9.59** | +| union rare classes | 6 / 5 / 6 | 2 rare per client (all) | +| union unseen classes | 2 / 0 / 2 | max 1 on a client | + +--- + +## 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: **270 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 | +|---|---|---| +| 0.00 | 0.687230 | 0.052726 | +| 0.25 | 0.645078 | 0.064743 | +| 0.50 | 0.674669 | 0.102253 | +| 0.75 | 0.688368 | 0.126032 | +| **1.00** | **0.692370** | 0.139140 | + +- Recompute **matches the report** to formatting precision. +- `argmax` = **1.00** (no tie; top-two gap ≈ 4.0e-3). `tie_break_used=false`. +- Per-seed diagnostics reproduce **1.00 / 0.00 / 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 = 1.00` 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 = 1.00` fixed from pooled validation; only then test metrics read. Recomputed from +`test_descriptive.csv` (which is itself derived from `test_global_metrics.json`), averaged across +seeds with sample std: + +| metric | selected beta 1.00 (mean ± std) | original_protean (mean ± std) | +|---|---|---| +| rare-class macro-F1 | 0.871984 ± 0.028501 | 0.880542 ± 0.037058 | +| rare-class recall | 0.967104 ± 0.007942 | 0.972913 ± 0.003843 | +| macro-F1 | 0.838596 ± 0.019627 | 0.842395 ± 0.020840 | +| accuracy | 0.743257 ± 0.000667 | 0.743975 ± 0.008393 | +| weighted-F1 | 0.718195 ± 0.001680 | 0.718730 ± 0.008678 | + +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) | 1.93e-2 | 6.01e-2 | 2.60e-2 | +| test metric max diff | 2.33e-3 | 1.86e-4 | 8.70e-3 | +| 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: the seed-0 `...__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 **2.340** (monotone: 0.953 / 1.567 / 2.003 / 2.340 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=1.00` = 6/3/1 (seed 0, +mean +0.030), 3/5/2 (seed 1, mean −0.101), 7/2/1 (seed 2, mean +0.087). `N_ij` vs ΔF1 is +non-monotonic. Client ids are per-seed realisations, not pooled. + +--- + +## M. Cross-dataset labels + +Condition-level pooled selections confirmed from `selection_summary.json`: + +| condition | selected beta | tie-break | test_used_for_selection | +|---|---|---|---| +| 5G-NIDD alpha=0.50 | 1.00 | no | false | +| X-IIoTID alpha=0.50 | 0.75 | no | false | + +The report makes no causal or generalising claim and explicitly states the selections differ +descriptively across the two datasets. + +--- + +## N. Reuse decision audit + +The pre-existing `results/5gnidd__alpha0.5__seed0__original_protean` (backed up to +`/tmp/opencode/s9/old_baseline_backup/`) lacks all validation artifacts and therefore failed the +reuse criterion; all 18 runs were re-executed. The fresh seed-0 `original_protean` reproduces the +old artifact **exactly**: byte-identical `history.json` and identical test metrics (rare-class +macro-F1 `0.8719637151922778`, accuracy `0.7344156725348203`). Reuse decision confirmed. + +--- + +## O. Artifact provenance + +| Reported quantity | Source artifact(s) | Derivation | +|---|---|---| +| run existence / config | `results//metadata.json` | direct read | +| manifest hashes / reproduction | `artifacts/partitions/5gnidd__alpha0.5__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` + `...__partition_characterization.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__alpha0.5__multiseed__runtime.csv` (source `/tmp/opencode/5gnidd_alpha050_runtime.csv`) | parse `/usr/bin/time -v`; sum 69,336 s = 19.26 h | +| cross-dataset table | `xiiotid__alpha0.5__multiseed__*` + `5gnidd__alpha0.5__multiseed__*` | read per-condition multiseed artifacts | + +--- + +## P. Deviations / corrections found + +**None.** No arithmetic, metric-label, std-convention, provenance or pairing defect was found in +the Session 9 report or analysis artifacts. No training/aggregation/preprocessing source file was +modified. + +Informational note (not a defect): the pre-existing seed-0 baseline was structurally incomplete +(no validation artifacts) and was correctly not reused; the fresh rerun is byte-identical for the +training outputs. + +--- + +## Q. Final audit verdict + +**PASS.** + +- Run inventory: **PASS** (18/18; no duplicates/partials; no alpha≠0.50 or legacy 5G-NIDD run). +- Pairing / manifest reproduction: **PASS** (hash-identical; raw-data reproduction exact). +- Partition characterization: **PASS** (4/27, 4 missing, ratio 11.63/4.43/12.72, unseen 2/0/2). +- Rare/unseen integrity: **PASS** (0 mismatches over 270 cells). +- Validation recomputation (seed-level and global): **PASS** (exact). +- Pooled selection: **PASS**; independent `beta_star = 1.00` 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). +- Reuse decision: **PASS** (not reused; rerun reproduces the old baseline exactly). +- Cross-dataset labels: **PASS** (5G-NIDD 1.00 vs X-IIoTID 0.75; no causal claim). +- Source/data integrity: **PASS**; `planningawal/` unchanged; raw SHA-256 unchanged; + `equal_available` absent; pytest 75 passed. + +Session 9 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).