EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning

arXiv:2403.17980v1 Announce Type: cross
Abstract: As the number of IoT devices increases, security concerns become more prominent. The impact of threats can be minimized by deploying Network Intrusion Detection System (NIDS) by monitoring network traffic, detecting and discovering intrusions, and issuing security alerts promptly. Most intrusion detection research in recent years has been directed towards the pair of traffic itself without considering the interrelationships among them, thus limiting the monitoring of complex IoT network attack events. Besides, anomalous traffic in …

abstract alerts arxiv become concerns cs.cr cs.lg detection devices graph impact iot monitoring network research security security concerns threats traffic type