Raspberry Pi Network Auditor
A Raspberry Pi-based network auditor focused on device inventory, traffic summaries, changes over time and careful explanation. It is intentionally framed as personal defensive tooling, not an offensive-security product.
01 · Problem
What needed solving
A home network can accumulate many devices while providing very little useful context about what is connected, what normal activity looks like and what has changed.
Use a bounded home-infrastructure problem to explore observability, time-series reasoning and explainable anomaly signals without collecting unnecessary content.
02 · Constraints
The difficult parts
- Collect enough metadata to explain behaviour without retaining private payload content.
- Separate a change worth reviewing from an unsupported claim that a device is malicious.
- Keep credentials, device identifiers and household activity out of public screenshots and logs.
03 · Approach
How the work was structured
- Start with inventory, connection summaries and change detection rather than packet-content inspection.
- Treat anomaly scores as prompts for investigation, not security verdicts.
- Keep analysis local and design public demonstrations around synthetic device names and traffic patterns.
04 · Validation
What can be claimed now
The project and its privacy boundary are user-confirmed. Exact capture tools, current modules and model behaviour are not yet documented publicly, so the case study makes no narrower implementation claims.
The auditor is an active personal project and a learning environment for local observability. It is not presented as a certified security system or a finished public product.
05 · Learning
What the project clarified
- Privacy starts with deciding what not to collect.
- An anomaly is evidence of change, not proof of intent.
- A defensive tool is more useful when every signal can be traced back to understandable metadata.