BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection. (arXiv:2304.07226v1 [cs.CR])

With the development of the Internet of Things (IoT), network intrusion
detection is becoming more complex and extensive. It is essential to
investigate an intelligent, automated, and robust network intrusion detection
method. Graph neural networks based network intrusion detection methods have
been proposed. However, it still needs further studies because the graph
construction method of the existing methods does not fully adapt to the
characteristics of the practical network intrusion datasets. To address the
above issue, this paper proposes a …

address algorithm attention automated construction datasets detection development internet internet of things intrusion intrusion detection iot network networks neural network neural networks similarity studies things