Hans P. Reiser

HomeGuard: Community-Driven Hierarchical Federated Learning for Robust Smart-Home Intrusion Detection

This work presents H OME G UARD, a collaborative IDS specifically designed for the constraints and threat model of practical smart home IoT infrastructures, and rethink FL deployment by of-floading model training to gateways to manage computational heterogeneity of IoT devices and organizing anomaly detection models into device-specific communities based on privacy-preserving traffic fingerprints which do not expose sensitive data.