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EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning
March 28, 2024, 4:10 a.m. | Lijin Wu, Shanshan Lei, Feilong Liao, Yuanjun Zheng, Yuxin Liu, Wentao Fu, Hao Song, Jiajun Zhou
cs.CR updates on arXiv.org arxiv.org
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 …
alerts arxiv can cs.cr cs.lg detection devices graph impact intrusion intrusion detection intrusion detection system iot iot devices monitoring network network intrusion network traffic nids research security security alerts security concerns system threats traffic
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