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电力系统网络信息安全风险防范措施分析

Analysis on Preventive Measures of Network Information Security Risk in Power System
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摘要 为强化电力系统网络信息安全防护能力,聚焦于电力系统网络的信息安全风险,深入分析电力系统网络的基本架构和关键技术组件,并识别电力系统网络所面临的主要技术安全风险,并采用模糊预处理和反向传播(Back Propagation,BP)神经网络算法构建一个电力系统风险评估模型。结果表明,构建的全面风险评估体系,可以有效评估电力系统的安全风险,为电力系统网络的安全管理和决策提供实用的工具,从而保障能源和网络安全。 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.
作者 任丽红 刘宝擘 马博坤 REN Lihong;LIU Baobo;MA Bokun(Xuanhua Vocational College of Science and Technology,Zhangjiakou 075100,China)
出处 《通信电源技术》 2024年第3期70-72,共3页 Telecom Power Technology
关键词 电力系统网络 风险评估 反向传播(BP)神经网络算法 power system network risk assessment Back Propagation(BP)neural network algorithm
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