中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Difference-Comparison-based Malicious Meter Inspection in Neighborhood Area Networks in Smart Grid

文献类型:期刊论文

作者Xiao Y(肖杨); Zheng M(郑萌); Xia XF(夏小芳); Liang W(梁炜)
刊名COMPUTER JOURNAL
出版日期2017
卷号60期号:12页码:1852-1870
关键词smart grid smart meter malicious meter electricity theft security cyber-physical system
ISSN号0010-4620
产权排序1
通讯作者Liang W(梁炜)
中文摘要As the smart meters are vulnerable to physical attacks as well as cyber attacks, electricity theft in smart grids is much easier to commit and more difficult to detect than that in traditional power grids. In this paper, to facilitate the inspection of the malicious meters, a full and complete binary inspection tree whose leaves stand for smart meters is employed as a logical structure. We can logically configure an inspector (a meter for detection) at any node on the tree. By calculating the difference between the inspector's reading and the summation of the readings reported from the smart meters on the subtree of one node, as well as the difference between the total amount of stolen electricity on the subtrees of an internal node and its left child, we propose a difference-comparison-based inspection algorithm which allows the inspector to skip a large number of nodes on the tree and hence accelerates the detection speed of the malicious meters remarkably. Furthermore, for quickly identifying a complete set of malicious meters, we propose an adaptive reporting mechanism which adopts much shorter reporting periods during the inspection process. Analysis with proofs about the performance bounds of the proposed algorithm in terms of the number of inspection steps is provided. Simulations not only validate the theoretical analysis, but also show the superiority of the proposed algorithm over the existing works in terms of inspection steps, regardless of the ratio and the permutation of malicious meters.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
研究领域[WOS]Computer Science
关键词[WOS]NONTECHNICAL LOSS FRAUD ; WIRELESS SENSOR NETWORKS ; ENERGY THEFT ; INFRASTRUCTURE ; ARCHITECTURE ; REGRESSION ; ALGORITHM ; SECURITY ; DETECTOR ; SYSTEMS
收录类别SCI ; EI
语种英语
WOS记录号WOS:000425258700010
源URL[http://ir.sia.cn/handle/173321/21599]  
专题沈阳自动化研究所_工业控制网络与系统研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 Shenyang, China
2.Key Lab of Networked Control Systems, Chinese Academy of Sciences, 110016 Shenyang, China
3.Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, USA
4.University of Chinese Academy of Sciences, 100039 Beijing, China
推荐引用方式
GB/T 7714
Xiao Y,Zheng M,Xia XF,et al. Difference-Comparison-based Malicious Meter Inspection in Neighborhood Area Networks in Smart Grid[J]. COMPUTER JOURNAL,2017,60(12):1852-1870.
APA Xiao Y,Zheng M,Xia XF,&Liang W.(2017).Difference-Comparison-based Malicious Meter Inspection in Neighborhood Area Networks in Smart Grid.COMPUTER JOURNAL,60(12),1852-1870.
MLA Xiao Y,et al."Difference-Comparison-based Malicious Meter Inspection in Neighborhood Area Networks in Smart Grid".COMPUTER JOURNAL 60.12(2017):1852-1870.

入库方式: OAI收割

来源:沈阳自动化研究所

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