Adaptive Intrusion Detection for IoT Networks

Home and campus IoT devices are cheap, numerous, and rarely patched. This project builds a lightweight detection layer that learns a device's normal behavior and flags deviations without needing constant vendor updates. A working prototype is deployed on a segment of the campus residence network under controlled conditions.