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Acaua is a collective SOC daemon consuming only Zeek log files, not a single-user tool needing local hardware like its siblings. Drop the Tauri desktop shell, installers and self-update entirely; the server and its web dashboard ship as a container, updated by pulling a new image tag. Link against the official prebuilt libduckdb instead of compiling it from source via the bundled feature, cutting image build time from 15+ minutes to about 3. Fix a real bug found along the way: as PID 1 in a container, the daemon ignored SIGTERM and was always killed after the stop timeout; it now shuts down gracefully. Also corrects the Pillar 1 beaconing score: the period estimate had a harmonic alias (a perfectly periodic 4h series resolved to 600s), and the old score formula flagged pure random traffic as suspicious (p95 = 0.839 on Poisson noise). The new formula was validated against 300 samples per scenario. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VAyr8d7HuAdUGB6aA5xmDD
36 lines
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36 lines
456 B
Plaintext
# Build artifacts
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target/
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node_modules/
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*.rs.bk
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# Runtime data and local datasets
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.acaua/
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data/
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*.parquet
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*.duckdb
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*.wal
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# Python research environment
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research/.venv/
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research/**/__pycache__/
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research/**/*.pyc
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research/.ipynb_checkpoints/
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# Local environment and editor state
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.env
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.env.*
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!.env.example
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.DS_Store
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# Local AI agent configuration and state
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.claude/
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.wolf/
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.opencode/
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.codex/
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.cursor/
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.superpowers/
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.superset/
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CLAUDE.md
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AGENTS.md
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GEMINI.md
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