| BCGI: A fast approach to detect malicious meters in neighborhood area smart grid | |
Xia XF(夏小芳) ; Liang W(梁炜); Xiao Y(肖杨); Zheng M(郑萌)
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| Department | 工业控制网络与系统研究室 |
| Conference Name | 2015 IEEE International Conference on Communication Workshop, ICCW 2015 |
| Conference Date | June 8-12, 2015 |
| Conference Place | London |
| Source Publication | 2015 IEEE International Conference on Communication Workshop, ICCW 2015 |
| Publisher | IEEE |
| Publication Place | Piscataway, NJ, USA |
| 2015 | |
| Pages | 7228-7233 |
| Indexed By | EI ; CPCI（ISTP） |
| EI Accession number | 20160201791905 |
| WOS ID | WOS:000371708107076 |
| Contribution Rank | 1 |
| ISBN | 978-1-4673-6432-4 |
| Abstract | To detect the malicious meters committing electricity theft in a neighborhood area smart grid, in this paper, a novel inspection algorithm, termed as the Binary-Coded Grouping-based Inspection (BCGI) algorithm, is proposed. In the proposed algorithm, each meter is identified with a unique binary-coded number. The BCGI algorithm can locate the unique malicious meter (if any) by one inspection step under the assumption that at most one meter becomes malicious in one reporting period. Furthermore, by controlling the reporting periods of meters, we could make the probability of the event that at most one meter becomes malicious in one reporting period arbitrarily close to 1 under some assumptions. We further extend the algorithm into a Generalized BCGI algorithm (G-BCGI) to deal with the case that there are two or more meters which happen to commit the theft of electricity in one reporting period. Simulation results demonstrate the inspection efficiency of the BCGI and G-BCGI algorithms. |
| Language | 英语 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/17392 |
| Collection | 工业控制网络与系统研究室 |
| Affiliation | 1.Key Lab of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 3.University of Chinese Academy of Sciences, Beijing, China |
| Recommended Citation GB/T 7714 | Xia XF,Liang W,Xiao Y,et al. BCGI: A fast approach to detect malicious meters in neighborhood area smart grid[C]. Piscataway, NJ, USA:IEEE,2015:7228-7233. |
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| File Name/Size | DocType | Version | Access | License | ||
| BCGI A fast approach（232KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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