摘要
针对电力监控自动化系统中信息安全隐患问题,提出一种电力监控自动化系统中信息安全漏洞分析方法。该方法采用自动化监控与智能化处理技术来分析系统中信息安全漏洞情况,采用基于马尔科夫链在支持向量机优化算法的优化组合分析系统中存在的安全问题,通过智能模块分析终端上传的检测数据推算出系统内信息安全对系统的影响,从而制定出最优解决方案。实验结果表明,通过该方法检测出的数据精准度高达90%以上,表明该研究基于信息安全漏洞分析方法的正确性,为完善信息安全漏洞分析技术奠定了基础。
Aiming at the hidden danger of information security in power monitoring automation system,an analysis method of information security vulnerabilities in power monitoring automation system is proposed.This method uses automatic monitoring and intelligent processing technology to analyze the information security vulnerabilities in the system,and adopts the optimization combination of Markov chain optimization algorithm in support vector machine to analyze the existing security problems in the system.Through the analysis of the detection data uploaded by the intelligent module to the terminal,the impact of information security in the system on the system is calculated,and the optimal solution is formulated.The test results show that the accuracy of the data detected by the system technology is more than 90%,indicating the correctness of the method based on information security vulnerability analysis.This research lays a technical foundation for the next step of information security vulnerability analysis technology.
作者
周自强
景峰
杨大哲
Zhou Ziqiang;Jing Feng;Yang Dazhe(State Grid Shanxi Electric Power Research Institute,Taiyuan 030001,China;State Grid Shanxi Electric Power Company)
出处
《单片机与嵌入式系统应用》
2023年第6期28-32,共5页
Microcontrollers & Embedded Systems
基金
国网山西省电力公司科技项目—信息网络平行仿真平台研究(SX2202345)。
关键词
电力监控自动化
信息安全
漏洞分析
马尔科夫链
power monitoring automation
information security
vulnerability analysis
Markov chain
