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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
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Roadmap
English · Português
This roadmap separates what exists from what is planned. The four pillars are under development; they represent the core analytical work.
Done
- Rust workspace with
acaua-coreandacaua-cli. - CLI commands, Axum API and embedded web dashboard.
- 100% Docker containerization, compose deployment, non-root hardened profile.
- Prebuilt DuckDB linking and Parquet storage foundations.
- Stubs for the four pillars, evidence fusion, and Zeek ingestion.
- English/Portuguese documentation, CI/release workflows and
scripts/check.sh. - Deterministic smoke tests and bilingual UI coverage checks.
Next
- Pillar 1 — beaconing. Implement the Rayleigh/Schuster periodogram on event timestamps, add harmonic resistance, and verify with deterministic fixtures.
- Pillar 2 — persistent sessions. Detect long connections that never produce a short interval, with explicit thresholds and no overlap with pillar 1.
- Real Zeek parser. Read
conn.log,dns.log,ssl.logand protocol logs with bounded memory, path confinement and deterministic ordering. - Evidence record. Emit a JSON record per alert with inputs, intermediate values, code version and dataset hash.
Later
- Pillar 3 — deterministic protocol anomalies, including identity and lateral-movement features.
- Pillar 4 — bounded, symmetric fusion with reproducible weights.
- Analytical store optimizations, daily Parquet partitioning and TTL pruning.
- Scheduled ingestion and automated log rotation handling in daemon mode.
- NetFlow/IPFIX as a documented degraded mode and Suricata EVE JSON as an optional secondary input.
- Signed release metadata, SBOM and reproducible builds.
Non-goals
- Opaque AI scoring that cannot explain an alert.
- A required cloud service or telemetry pipeline.
- Python in the shipped runtime.
- Treating flow records as equivalent to full Zeek protocol logs.
- Native desktop shell or binary self-mutation.