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Deducing cascading failures caused by cyberattacks based on attack gains and cost principle in cyber-physical power systems 被引量:8

Deducing cascading failures caused by cyberattacks based on attack gains and cost principle in cyber-physical power systems
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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. 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.
出处 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2019年第6期1450-1460,共11页 现代电力系统与清洁能源学报(英文)
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).
关键词 Cyber-physical power system CASCADING failure Cyberattack Early WARNING Fault probability ATTACK GAINS and COST PRINCIPLE ATTACK route choice Cyber-physical power system Cascading failure Cyberattack Early warning Fault probability Attack gains and cost principle Attack route choice
作者简介 Yanli LIU obtained her Ph.D.degree from Tianjin University,Tianjin,China in 2014.She is now an associate professor with Tianjin University.Her research interests include power system stability and security,cyber-physical systems,and renewable energy.yanliliu@tju.edu.cn;Yufei WANG obtained his master degree from North China Electric Power University,Beijing,China in 2012.He is now a Ph.D.student at Wuhan University,Wuhan,China and an engineer of Global Energy Interconnection Research Institute,Beijing,China.His research interestsinclude cyber-physical power systems,cyber security,and machine learning.wallyful@126.com;Jun’e LI obtained her Ph.D.degree from Wuhan University,Wuhan,China in 2004.She is now a professor of Computer Science&Technology at Wuhan University.Her research interests include computer network architecture,cybersecurity,and cyber-physical systems.jeli@whu.edu.cn
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