A Lightweight Bounded-Residual DAE for Mitigating Adaptive Attacks on IoT Intrusion Detection Systems
Machine-learning intrusion detection has strengthened protection in Internet of Things (IoT) networks, but it also creates a new attack surface: small, deliberately chosen changes to flow features can make malicious traffic appear benign. Classifier hardening retrains the detector, while existing non-invasive schemes c...