Robust Intrusion Detection with GCN-AE: A One-Class GNN Approach
Designing Intrusion Detection Systems (IDS) that are robust against both known and emerging threats remains a critical challenge in cybersecurity. Traditional graph-based IDS approaches often rely on supervised learning, which requires large labeled datasets and struggles against evasion tactics that deviate from known...