A Deep Learning Approach for Understanding Device Behavior in Smart Building Networks
2021 IEEE International Symposium on Technologies for Homeland Security (HST)(2021)
摘要
Securing critical infrastructure networks requires a detailed understanding of the devices that are connected to the network and how networking resources are being used. In this paper, we present a novel technique that focuses on describing device behavior by analyzing and classifying the observed network traffic patterns, and demonstrate how this technique augments existing Machine Learning (ML) ...
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关键词
Bayesian Neural Network,BNN,SCADA,IoT,Security,Machine Learning,ML,Device Discovery,behavior
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