A Hybrid Cluster-Based Classification Model for Anomaly Detection in Unbalanced IoT Networks

Detecting anomalies in Internet of Things IoT networks is a critical security challenge, often hampered by highly imbalanced and diverse network traffic datasets. Standard classifiers struggle to perform well across all traffic types. This paper proposes a hybrid detection model to address this...