Hamed Taherdoost

IOTTRUST: graph-based anomaly detection for IoT intrusion using network flow topology and community structure analysis on UNSW-NB15

Introduction Conventional machine learning approaches to IoT intrusion detection treat each network flow record as an independent observation, discarding the relational structure that connects flows across source IPs, destination IPs, and subnet communities. This article presents IOTTRUST, a graph-augmented intrusion d...