Hybrid Intrusion Detection System with Real-Time Concept Drift Detection for Enhanced IoT Security
A hybrid IDS framework that integrates supervised Random Forest classification, unsupervised Isolation Forest anomaly monitoring, and Kolmogorov–Smirnov (KS)-based concept drift monitoring is presented, providing initial evidence of generalization to one held-out attack family but should not be interpreted as proof of broad zero-day detection capability.