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.
Traffic Signs Detection for Real- World Application of an Advanced Driving Assisting System Using Deep Learning
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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.