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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
163 lines
7.1 KiB
Markdown
163 lines
7.1 KiB
Markdown
# Architecture
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**English** · [Português](pt-BR/arquitetura.md)
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Acauã is a single Rust product: one daemon/CLI, one shared core, and one
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embedded web dashboard. The shipped runtime has no Python and no external
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database. This document records the structural decisions and the six
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corrections applied to the original blueprint.
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## Stack
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| Layer | Choice | Why |
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|---|---|---|
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| Core, CLI and daemon | Rust 2021 (MSRV 1.88) | One toolchain, memory safety, no runtime dependency |
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| HTTP API | Axum + Tokio + Tower HTTP | Small async surface, easy to embed |
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| Web Dashboard | Vanilla HTML/CSS/JS | No frontend build step, assets embedded in the binary via `rust-embed` |
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| Analytical store | DuckDB + Parquet | Mandatory embedded columnar store, linked to official prebuilt `libduckdb.so` |
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| Deployment | Docker / docker-compose | Collective SOC daemon, unprivileged non-root user, read-only rootfs |
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| Scientific validation | Python in `research/` only | astropy/scipy/networkx for fixtures, never shipped |
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The workspace has two crates: `acaua-core` and `acaua-cli`. Both use `version.workspace = true`.
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## Components
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```
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Zeek logs ──► acaua-core::zeek ──► normalized events ──► storage
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│
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├──► pillar1 (beaconing)
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├──► pillar2 (persistent sessions)
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├──► pillar3 (protocol anomalies)
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└──► pillar4 (fusion) ──► alerts + evidence
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│
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acaua-cli (serve) ──► axum API ──► embedded web dashboard ──────────┘
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```
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- `zeek`: bounded parser and path confinement. It must never follow a symlink
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outside the dataset root.
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- `storage`: DuckDB in-memory engine over daily partitioned Parquet files with a
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seven-day TTL.
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- `pillar1`–`pillar4`: pure functions over normalized events. They return
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scores plus evidence, never only a float.
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- `fusion`: fixed-order, bounded combination. It must be symmetric and
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reproducible.
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- `doctor`: local environment checks; reports prebuilt DuckDB linkage and
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containerized Zeek status.
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- `update`: checks for updates against the Gitea Releases API.
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## The six corrections
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### 1. Rayleigh/Schuster, not pure Lomb–Scargle
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Event timestamps are a one-dimensional point process: there is no `y` value to
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fit. The primary periodogram is therefore Rayleigh/Schuster:
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```text
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P(T) = (2 / N) * [ (sum cos(2*pi*t_i / T))^2 + (sum sin(2*pi*t_i / T))^2 ]
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```
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Generalized Lomb–Scargle is reserved for the future extension that evaluates a
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real response attribute (such as payload size or duration) against time.
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### 2. Guard the zero-dispersion case in MADM
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A synthetic or unjittered beacon produces equal intervals. The median absolute
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deviation from the median (MADM) is then `0.0`. Dividing by `0.0` or treating it
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as a missing value is wrong: zero dispersion is the most suspicious outcome. The
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implementation guards this case with an explicit score assignment (`1.0`) and a
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documented sentinel.
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### 3. Replace Pearson skewness with Bowley skewness
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Sample skewness based on the third central moment is sensitive to single
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outliers and can diverge. Bowley skewness uses quartiles:
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```text
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B = (Q3 + Q1 - 2*Q2) / (Q3 - Q1)
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```
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It is bounded in `[-1.0, 1.0]` by definition and resistant to extreme outliers.
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When `Q3 == Q1` (concentrated data), the implementation assigns `0.0` with a
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sentinel flag.
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### 4. Isolate the Python research workspace
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`research/` has its own virtual environment and dependencies. It is excluded
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from the Cargo workspace, ignored by Docker builds and CI releases, and tested
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only when research validation scripts are invoked directly.
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### 5. Documented degraded mode for NetFlow/IPFIX
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NetFlow v9 and IPFIX do not carry DNS query names, TLS SNI, certificate chains
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or HTTP headers. Any analysis that depends on protocol features is unavailable.
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Acauã documents this as a degraded mode and never claims parity between flow
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records and full Zeek logs.
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### 6. Single HTTP and RPC boundary
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The daemon exposes an Axum API on loopback by default. The embedded web UI
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communicates with the daemon exclusively via standard HTTP calls.
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## API
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The HTTP API is served by `acaua serve`:
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| Method | Path | Meaning |
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|---|---|---|
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| GET | `/api/health` | Liveness and version |
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| GET | `/api/status` | Uptime, data directory, dataset summary |
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| GET | `/api/alerts` | Paginated alerts with evidence |
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| POST | `/api/analyze` | Ingest and analyze a dataset directory |
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| GET | `/api/update` | Check for newer releases |
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| GET | `/logo.png` | Embedded brand asset |
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| GET | `/*` | Embedded UI fallback (`rust-embed`) |
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`serve` binds to `127.0.0.1:8787` by default. Exposing it on an external network
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requires an authenticating reverse proxy.
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## Storage
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DuckDB is a mandatory dependency linked dynamically to the official prebuilt
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`libduckdb.so` (version 1.5.6 pinned with SHA-256 in `scripts/fetch-libduckdb.sh`).
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Parquet, JSON and ICU extensions are statically built into the official library.
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The schema consists of daily partitioned Parquet files under the configured
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data directory, with in-memory DuckDB querying and a seven-day TTL.
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## Updates
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Updates for Acauã are delivered via container images (`docker compose pull && docker compose up -d`).
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The `acaua update` command queries the Gitea Releases API for `ciberfauna/acaua` and
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notifies operators when a newer version tag is available. Binary self-overwrite
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(`update --apply`) is removed: in a collective SOC daemon running under container
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orchestration, updates must be controlled by image pulls rather than self-mutating
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processes.
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## Rejected alternatives
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1. **Python service with FastAPI/ClickHouse:** Rejected. A Python runtime introduces
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heavy container footprints and unnecessary memory boundaries; ClickHouse adds an
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external server operational burden for datasets that fit an embedded columnar store.
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The product is 100% Rust.
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2. **Desktop application (Tauri / AppImage / NSIS):** Rejected. Unlike Guará (local
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raw disk forensics) and Sabiá (Wi-Fi monitor-mode hardware), Acauã has no local
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hardware dependencies: it is a multi-user SOC daemon consuming Zeek logs. A desktop
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wrapper adds maintenance and security surface without operational benefits.
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## Deployment
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- **Docker Compose (Official):** Multi-arch container image (`git.lucasrguerra.dev.br/ciberfauna/acaua`),
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running as unprivileged user `acaua` (UID 10001), read-only root filesystem, dropped capabilities.
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- **Native compilation:** `scripts/fetch-libduckdb.sh ~/.cache/acaua/duckdb` followed by `cargo build --release -p acaua-cli`.
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## Failure behavior
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Malformed input is skipped with a counted, bounded diagnostic. A missing log is
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not fatal. A corrupt store is reported by `doctor` and never silently recreated
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over existing data.
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## Versioning and compatibility
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SemVer 2.0.0. Evidence JSON carries a schema version. Any change to a score or
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to the evidence shape is a breaking change for `0.x` minor versions and must be
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recorded in the changelog.
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