In order to strengthen the information security protection capability of the power system network,focusing on the information security risk of the power system network,we analyze the basic architecture and key technical components of the power system network in depth,and identify the main technical security risks faced by the power system network,and use fuzzy preprocessing and back propagation(BP)neural network algorithms to construct a power system risk assessment model.The results show that the comprehensive risk assessment system constructed can effectively assess the security risks of the power system and provide practical tools for the security management and decision-making of the power system network,so as to safeguard energy and network security.
power system networkrisk assessmentBack Propagation(BP)neural network algorithm