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Energy Based Optimal Dynamic Stealth False Data Injection Attacks on the Smart Grid
Liu, Yifa1,2; Cheng, Long1,2
2020-11
会议名称2020 7th International Conference on Information, Cybernetics, and Computational Social Systems
会议录名称Proceedings of 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems
页码90-95
会议日期2020.11.13-15
会议地点Guangzhou, China
摘要

The false data injection attack is a typical cyber attack method which seriously endangers the security of power systems. Most studies of false data injection attacks regard it as a one-shot event, including the researches on the development of attack methods. However, this cannot fully demonstrate the threats of false data injection attacks. Therefore, this paper takes the dynamic behavior of the false data injection attack into account and addresses the constrains of attack resources and operations in practice. Then based on the optimal control theory, an optimal dynamic attack strategy is proposed, which significantly improves the attack effect on limited energy conditions, and reduces the possibility of being detected to a certain extent. When some conditions permit, it can be reinforced with other stealth attack methods to completely bypass the detection.

关键词smart grid, security, false data injection attack, optimal control
学科门类工学::控制科学与工程
DOI10.1109/ICCSS52145.2020.9336868
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收录类别EI
语种英语
是否为代表性论文
七大方向——子方向分类复杂系统理论与方法
国重实验室规划方向分类复杂系统建模与推演
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/52255
专题复杂系统认知与决策实验室_先进机器人
通讯作者Cheng, Long
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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GB/T 7714
Liu, Yifa,Cheng, Long. Energy Based Optimal Dynamic Stealth False Data Injection Attacks on the Smart Grid[C],2020:90-95.
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