Open access
Sep 2026
IOTTRUST: graph-based anomaly detection for IoT intrusion using network flow topology and community structure analysis on UNSW-NB15
IOTTRUST is presented, a graph-augmented intrusion detection framework for IoT networks that constructs a directed network flow graph from the UNSW-NB15 dataset and enriches per-flow machine learning with 24 graph-derived topology features computed per source and destination IP.
Nachaat Mohamed, Hamed Taherdoost
· Frontiers in Big Data · 0 citations