PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid
文献类型:期刊论文
作者 | Pei C(裴超)2![]() ![]() ![]() ![]() |
刊名 | IEEE Transactions on Industry Applications
![]() |
出版日期 | 2020 |
卷号 | 56期号:4页码:4381-4393 |
关键词 | Cyber security cyber-physical system false data injection phase measurement units (PMUs) state estimation smart grid |
ISSN号 | 0093-9994 |
产权排序 | 1 |
英文摘要 | To maintain stable and reliable operations in smart grid, accurate state estimation is of paramount importance. However, synthesized false data injection attacks could wisely circumvent conventional bad data detection mechanisms by introducing arbitrary errors to state estimates to seriously affect the entire power system operation. To defend these attacks, phase measurement units (PMUs) are deployed in advance at various locations to reduce the chance of being attacked. However, when the budget of placement is not large enough so that the whole system cannot be covered by PMUs, the existing PMU placement algorithms based on greedy strategies are insufficient in some weak locations due to the nature of greedy strategies. In this article, we propose a new hybrid attack, which can be easily used by attackers to attack the buses with less connectivity and impose adverse impacts to state estimation with a low-attack cost so that existing defenses based on greedy strategies become invalid. We future propose a predeployment PMU greedy algorithm for this new attack in which the most vulnerable buses are first protected and, then, a greedy-based algorithm is used to deploy other PMUs until the whole system is observable. Experimental results on various IEEE standard systems demonstrate the effectiveness of our schemes. |
WOS关键词 | STATE ESTIMATION ; NETWORKS ; SYSTEMS ; DEFENSE |
资助项目 | National Natural Science Foundation of China[61673371] ; International Partnership Program of Chinese Academy of Sciences[173321KYSB20180020] ; Liaoning Provincial Natural Science Foundation of China[2019-YQ-09] ; China Scholarship Council |
WOS研究方向 | Engineering |
语种 | 英语 |
WOS记录号 | WOS:000550744700102 |
资助机构 | National Natural Science Foundation of China under Grant 61673371 ; International Partnership Program of Chinese Academy of Sciences under Grant 173321KYSB20180020 ; Liaoning Provincial Natural Science Foundation of China under Grant 2019-YQ-09 |
源URL | [http://ir.sia.cn/handle/173321/27474] ![]() |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Xiao Y(肖杨); Liang W(梁炜) |
作者单位 | 1.Department of Computer Science, University of Alabama, Tuscaloosa, AL 35487-0290, United States 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; |
推荐引用方式 GB/T 7714 | Pei C,Xiao Y,Liang W,et al. PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid[J]. IEEE Transactions on Industry Applications,2020,56(4):4381-4393. |
APA | Pei C,Xiao Y,Liang W,&Han XJ.(2020).PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid.IEEE Transactions on Industry Applications,56(4),4381-4393. |
MLA | Pei C,et al."PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid".IEEE Transactions on Industry Applications 56.4(2020):4381-4393. |
入库方式: OAI收割
来源:沈阳自动化研究所
其他版本
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。