GNN-based Anomaly Detection for Encoded Network Traffic

arXiv:2405.13670v1 Announce Type: cross
Abstract: The early research report explores the possibility of using Graph Neural Networks (GNNs) for anomaly detection in internet traffic data enriched with information. While recent studies have made significant progress in using GNNs for anomaly detection in finance, multivariate time-series, and biochemistry domains, there is limited research in the context of network flow data. In this report, we explore the idea that leverages information-enriched features extracted from network flow packet data to improve the performance …

anomaly detection arxiv biochemistry cs.cr cs.lg cs.si data detection domains finance graph information internet internet traffic network networks network traffic neural networks progress report research series studies traffic