Online intrusion detection in computer networks using edge-aware attentive graph neural network
Graph Neural Network (GNN)-based intrusion detection systems (IDS) have emerged as powerful tools for modeling the structural patterns of network traffic. However, most existing methods rely on large, temporally aggregated graphs and random train-test splits, which risk information leakage from future traffic and overs...