GUARD-CAN represents CAN message windows as graphs and uses an AE-GCN encoder with GRU sequence classification to detect four attack types, reporting 0.9702 accuracy and 0.9930 AUC at a 50-message window size.
Intrusion detection system based on the analysis of time intervals of can messages for in-vehicle network
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GUARD-CAN: Graph-Understanding and Recurrent Architecture for CAN Anomaly Detection
GUARD-CAN represents CAN message windows as graphs and uses an AE-GCN encoder with GRU sequence classification to detect four attack types, reporting 0.9702 accuracy and 0.9930 AUC at a 50-message window size.