78 lines
3.3 KiB
Markdown
78 lines
3.3 KiB
Markdown
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# NetSynth
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## What This Is
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A Go CLI tool that captures live network traffic on an interface, clusters and classifies the packets by protocol/pattern, and synthesizes an ambient MP3 soundscape where each traffic type produces a distinct harmonic drone or tone. Run it, let it listen, hit Ctrl+C, and get an audio fingerprint of your network.
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## Core Value
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Network traffic patterns are instantly recognizable as distinct sounds — a ping sounds different from HTTPS noise, which sounds different from a port scan.
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## Requirements
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### Validated
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(None yet — ship to validate)
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### Active
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- [ ] Capture live packets from a specified network interface until interrupted (Ctrl+C)
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- [ ] Classify packets by known protocols (ICMP, TCP/HTTPS, DNS, SSH, etc.) using predefined rules
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- [ ] Auto-cluster unrecognized traffic patterns and assign them unique tones
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- [ ] Map each traffic class to a distinct harmonic/drone sound layer
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- [ ] Aggregate traffic into time windows to drive amplitude and tonal evolution
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- [ ] Synthesize ambient/drone audio from the layered sound mappings
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- [ ] Encode and save output as MP3 file
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- [ ] CLI interface with flags for interface selection and output file path
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### Out of Scope
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- Real-time audio playback — v1 is file output only
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- GUI or web interface — CLI only
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- Custom sound mapping configuration — predefined + auto-cluster only
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- Rhythmic/percussive output — ambient/drone style only
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## Context
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- Built in Go for single-binary distribution and performance
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- Needs packet capture (likely pcap/gopacket) — may require elevated privileges
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- Audio synthesis in Go is less common than Python; will need to evaluate libraries
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- MP3 encoding requires an encoder library or CGo bindings (e.g., LAME)
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- The "ambient/drone" style means layered sine/harmonic waves that evolve slowly based on traffic volume and mix, not discrete note triggers
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## Constraints
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- **Language**: Go — user preference, single binary output
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- **Privileges**: Packet capture requires root/CAP_NET_RAW on Linux
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- **Audio format**: MP3 output (not WAV or raw PCM)
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- **Interaction model**: Non-interactive capture (run → Ctrl+C → file saved)
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## Key Decisions
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| Decision | Rationale | Outcome |
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|----------|-----------|---------|
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| Go over Python/Rust | User preference, single binary, good perf | — Pending |
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| Ambient/drone style | Layered tones better represent continuous traffic patterns | — Pending |
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| Predefined + auto-cluster | Known protocols get recognizable sounds; unknown traffic still represented | — Pending |
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| File output only | Simpler v1, avoids real-time audio complexity | — Pending |
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## Evolution
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This document evolves at phase transitions and milestone boundaries.
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**After each phase transition** (via `/gsd:transition`):
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1. Requirements invalidated? → Move to Out of Scope with reason
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2. Requirements validated? → Move to Validated with phase reference
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3. New requirements emerged? → Add to Active
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4. Decisions to log? → Add to Key Decisions
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5. "What This Is" still accurate? → Update if drifted
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**After each milestone** (via `/gsd:complete-milestone`):
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1. Full review of all sections
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2. Core Value check — still the right priority?
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3. Audit Out of Scope — reasons still valid?
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4. Update Context with current state
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---
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*Last updated: 2026-03-24 after initialization*
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