CAEAID: An incremental contrast learning-based intrusion detection framework for IoT networks

Zinuo Yin, Hongchang Chen, Hailong Ma, Tao Hu, Luxin Bai

Abstract: Highlights•Incremental contrast learning-based framework for IoT intrusion detection.•Stable contrastive autoencoder for effective feature learning and robust detection.•Adaptive flow anomaly detection and auxiliary analysis.•Data enhancement and model update for concept drift adaptation in intrusion detection.