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feat(bot-detector): add dynamic browser profiling engine with HDBSCAN clustering

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Implement offline profile building (profile_builder.py) and real-time
dynamic scoring (browser_matcher_dynamic.py) using HDBSCAN-based browser
fingerprint clustering. Add ClickHouse materialized view (13_h2_profiling.sql)
for h2_profile_stats aggregation. Update thesis and project documentation
to cover the new dynamic profiling architecture.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Jacquin Antoine
2026-04-13 02:06:00 +02:00
parent 64dada980f
commit c60ce97f23
9 changed files with 1325 additions and 23 deletions
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docs/architecture.md
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@ -94,7 +94,7 @@ INSERT (Native TCP :9000)
### Phase 4 — Détection
7. **bot-detector** (Python 3.11, 12 modules) s'exécute en cycle de 5 minutes :
7. **bot-detector** (Python 3.11, 16 modules) s'exécute en cycle de 5 minutes :
- **Pipeline bifurqué** :
- **Complet** (L3→L7, ~85 features, `correlated=1`) — trafic corrélé TCP+TLS+HTTP
- **Applicatif** (L7 seulement, ~73 features, `correlated=0`) — trafic HTTP non corrélé