GTCN-G fuses Gated TCN and GCN with GAT residuals to improve intrusion detection on imbalanced network data and reports state-of-the-art results on UNSW-NB15 and ToN-IoT.
Improving Anoma- lous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming
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GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
GTCN-G fuses Gated TCN and GCN with GAT residuals to improve intrusion detection on imbalanced network data and reports state-of-the-art results on UNSW-NB15 and ToN-IoT.