Runs the chained identity + campaign clustering pipeline against all seven fixtures via from_synthetic / from_synthetic_identity adapters and ratchets every YAML floor to 1.0 — the production clusterer (and the reference clusterers used in the per-fixture tests) all score perfectly across ARI / homogeneity / completeness / singleton_recall on each fixture. Three substrate fixes surfaced by the ratchet: - Tuning: shared_infra now Jaccards payload+C2 only; decky_set moved into cohort_weight to prevent fleet-scarcity false-merges (F1's shared_wordlist failure mode). Tier weight raised to 1.0 so shared payload+C2 alone crosses threshold (F5's intended pass). - Adapter: from_synthetic_identity now reads SyntheticSession started_at + duration_s for session_windows and per-decky timestamps (the production-row adapter still uses start_ts/end_ts when available). - Fixture data: paused_campaign.yaml's JA3 collided exactly with vpn_hopping.yaml's (same TLS extension list). The collision fused two unrelated campaigns under the chained identity layer in the noise_floor composite. Made paused's JA3 distinct. Also wires Campaign / CampaignsResponse into models/__init__.py's __all__ that was missed in the schema commit.
25 lines
838 B
YAML
25 lines
838 B
YAML
# Bounds for fixture 6 (noise_floor).
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#
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# Composite corpus: ~14 campaign-driven attackers (across 5 prior
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# fixtures' actors / rotations) + 18 truth-singleton noise rows
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# (8 inherited from lone_wolf + 10 added by this fixture).
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#
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# A correct algorithm groups every campaign correctly and leaves
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# every singleton singleton — score 1.0 across every metric.
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#
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# Singleton recall is the load-bearing metric here: noise
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# absorption is the failure mode that makes campaign attribution
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# useless in practice (a clusterer that pulls noise into real
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# campaigns dilutes attribution to nothing). The bound floor on
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# singleton_recall is what would catch that regression.
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#
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# Bounds are loose at v1; tighten as the algorithm matures.
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adjusted_rand_index:
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min: 1.0
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homogeneity:
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min: 1.0
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completeness:
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min: 1.0
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singleton_recall:
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min: 1.0
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