Dataset Integrity, Feature Leakage Discovery, in IoT Intrusion Detection: A Verified, Reproducible Evaluation on IoT-23, ToN-IoT and Edge-IIoTset
Machine-learning-based intrusion detection for the Internet of Things is a rapidly growing literature that is nonetheless frequently undermined by two under-examined threats to validity: unverified dataset provenance and undisclosed feature leakage. This paper proposes XAI-FedFog-HybridNet, a federated intrusion-detect...