Research on Vulnerability Detection in Wireless Communication Networks of Power Systems Based on Deep Learning
Based on deep learning,this study first introduces the basic situation of the power system and the wireless communication network of the power system,and then analyzes the security vulnerabilities of the network.Then,a method of using deep learning technology to detect these vulnerabilities is proposed,and the steps and methods of detecting network security vulnerabilities are divided into data collection,data preprocessing,model selection and design,model training,evaluation,and vulnerability detection and repair.On this basis,this paper elaborates on the technical advantages and key role of deep learning in network security detection.Through this study,it is believed that deep learning technology can more effectively identify and solve the security problems of wireless communication networks in power systems.
deep learningpower systemwireless communication networkvulnerability detection