论文摘要
To warn the cascading failures caused by cyberattacks（CFCAs） in real time and reduce their damage on cyber-physical power systems（CPPSs）,a novel early warning method based on attack gains and cost principle（AGCP） is proposed.Firstly,according to the CFCA characteristics,the leading role of attackers in the whole evolutionary process is discussed.The breaking out of a CFCA is deduced based on the AGCP from the view of attackers,and the priority order of all CFCAs is then provided.Then,the method to calculate the probability of CFCAs is proposed,and an early warning model for CFCA is designed.Finally,to verify the effectiveness of this method,a variety of CFCAs are simulated in a local CPPS model based on the IEEE 39-bus system.The experimental results demonstrate that this method can be used as a reliable assistant analysis technology to facilitate early warning of CFCAs.
论文目录
文章来源
类型: 期刊论文
作者: Yufei WANG,Yanli LIU,Jun'e LI
来源: Journal of Modern Power Systems and Clean Energy 2019年06期
年度: 2019
分类: 工程科技Ⅱ辑
专业: 电力工业
单位: Key Laboratory of Aerospace Information Security and Trusted Computing,Ministry of Education,School of Cyber Science and Engineering,Wuhan University,Global Energy Interconnection Research Institute Co.Ltd,Key Laboratory of Smart Grid of Ministry of Education,Tianjin University
基金: supported by the National Key Research and Development Program of China (No. 2017YFB0903000),National Natural Science Foundation of China (No. 61471328),Natural Science Foundation of Tianjin City (No. 15JCQNJC07000)
分类号: TM711
页码: 1450-1460
总页数: 11
文件大小: 1580K
下载量: 6