Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks

Evan Caville, Wai Weng Lo, Siamak Layeghy +1

This paper investigates Graph Neural Networks (GNNs) application for self-supervised network intrusion and anomaly detection. GNNs are a deep learning approach for graph-based data…