张梦迪, 曹靖怡, 刘咸通, 赵林丛. 基于DEMATEL-ANP的电力物联网安全风险评估方法[J]. 电力信息与通信技术, 2022, 20(12): 81-87. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.12.011
引用本文: 张梦迪, 曹靖怡, 刘咸通, 赵林丛. 基于DEMATEL-ANP的电力物联网安全风险评估方法[J]. 电力信息与通信技术, 2022, 20(12): 81-87. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.12.011
ZHANG Mengdi, CAO Jingyi, LIU Xiantong, ZHAO Lincong. Security Risk Assessment Method of Power Internet of Things Based on DEMATEL-ANP[J]. Electric Power Information and Communication Technology, 2022, 20(12): 81-87. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.12.011
Citation: ZHANG Mengdi, CAO Jingyi, LIU Xiantong, ZHAO Lincong. Security Risk Assessment Method of Power Internet of Things Based on DEMATEL-ANP[J]. Electric Power Information and Communication Technology, 2022, 20(12): 81-87. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.12.011

基于DEMATEL-ANP的电力物联网安全风险评估方法

Security Risk Assessment Method of Power Internet of Things Based on DEMATEL-ANP

  • 摘要: 电力物联网发展迅速,同时也面临大量网络安全风险,难以进行有效风险评估。针对该现状,文章提出了基于因素关联性的安全风险评估方法,该方法首先对电力物联网的安全风险要素进行了提取,提出了五大安全关键要素。其次结合基于决策试验和评价实验(decision making trial and evaluation laboratory,DEMATEL)–网络层次分析法(analytic network process,ANP)的思想进行流程设计,融合专家的决策,对各安全目标和措施之间的影响关系和强度进行量化。最后基于该流程,对某系统的多个安全方案进行算例分析,得到风险值并对其应用进行了验证,证明了该方法可解决风险因素的关联和风险大小的量化问题。

     

    Abstract: With the rapid development of the power Internet of things, it is difficult to carry out effective risk assessment due to a large number of network security risks. In view of this situation, this paper proposes a security risk assessment method based on factor correlation. Firstly, this method extracts the security risk elements of the power Internet of things, and puts forward five key security elements. Secondly, the process design is combined with the thought of DEMATEL-ANP, and expert decision is integrated to quantify the impact relationship and intensity between security objectives and measures. Finally, based on the process, several security schemes of a system are analyzed with examples, and the value at risk is obtained and its application is verified, which proves that the method can solve the problem of correlation of risk factors and risk quantification.

     

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