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

Hossein Shaemi Barzoki, Amir Hossein Fathi Hafshejani, Ahmadreza Montazerolghaem

Detecting anomalies in Internet of Things (IoT) networks is a critical security challenge, often hampered by highly imbalanced and diverse network traffic datasets. Standard classi…