Online intrusion detection in computer networks using edge-aware attentive graph neural network
This study presents an intrusion detection framework based on a GNN that represents packet-flow data as communication graphs constructed over temporally segmented time windows, using a time-window-driven graph construction method that effectively models the temporal evolution of communication patterns while maintaining...