2 papers
cs.CR2026
AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders
Georgios Anyfantis, Pere Barlet-Ros
Network Intrusion Detection Systems (NIDS) are essential tools for detecting network attacks and intrusions. While extensive research has explored the use of supervised Machine Lea…
cs.NI2026
Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
Georgios Anyfantis, Pere Barlet-Ros
In this paper, we propose a proof-of-concept Graph Neural Network model that can successfully predict network flow-level traffic (NetFlow) by accurately modelling the graph structu…