Abdullatif Albaseer

DMGCRL: Dynamic Multi-Scale Graph Contrastive Representation Learning for Network Intrusion Detection

Graph neural networks (GNNs) have recently attracted significant attention in network intrusion detection systems (NIDS) due to their ability to model network traffic as graphs and capture complex relationships within network flows. However, existing GNN-based methods face critical limitations: they rely on limited or...