MI$^2$DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks

Researchers developed MI²DAS, a multi-layer intrusion detection framework for Industrial IoT networks that uses incremental learning to adapt to new cyber threats. The system achieved strong performance across multiple layers, with 95.3% accuracy in normal-attack discrimination and robust detection of both known and unknown attacks.