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Author

Hamed Taherdoost

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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 · 0 citations

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