Energy Based Optimal Dynamic Stealth False Data Injection Attacks on the Smart Grid
Liu, Yifa1,2; Cheng, Long1,2
2020-11
会议日期2020.11.13-15
会议地点Guangzhou, China
关键词smart grid, security, false data injection attack, optimal control
DOI10.1109/ICCSS52145.2020.9336868
页码90-95
英文摘要

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.

会议录Proceedings of 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems
语种英语
URL标识查看原文
内容类型会议论文
源URL[http://ir.ia.ac.cn/handle/173211/52255]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者Cheng, Long
作者单位1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yifa,Cheng, Long. Energy Based Optimal Dynamic Stealth False Data Injection Attacks on the Smart Grid[C]. 见:. Guangzhou, China. 2020.11.13-15.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace