arxiv
PublishedMarch 31, 2026 at 4:00 AM
A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
Publisher summary· verbatim
arXiv:2510.26307v2 Announce Type: replace-cross Abstract: Anomaly detection is a critical task in cybersecurity, where identifying insider threats, access violations, and coordinated attacks is essential for ensuring system resilience. Graph-based approaches have become increasingly important for mo
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFrom Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables10harxivConsequentialist Objectives and Catastrophe10harxivEgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms10harxivA general optimization solver based on OP-to-MaxSAT reduction10hOriginally published on arxiv ↗