A Privacy-Preserving and Cheat-Resilient Electricity Consumption Reporting Scheme for Smart Grids

被引:0
作者
Yip, Sook-Chin [1 ]
Wong, KokSheik [2 ]
Phan, Raphael C. -W. [1 ]
Tan, Su-Wei [1 ]
Ku, Ivan [1 ]
Hew, Wooi-Ping [2 ]
机构
[1] Multimedia Univ, Fac Engn, Selangor, Malaysia
[2] Univ Malaya, UM Power Energy Dedicated Adv Ctr UMPEDAC\\, Kuala Lumpur, Malaysia
来源
2014 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS) | 2014年
关键词
privacy; integrity; smart grid; cheat-resilient; AGGREGATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One of the significant benefits of smart grid as compared to conventional power grid is the capability to collect fine-grained data from each smart meter remotely, thereby enabling utility provider to balance load effectively and offer time-adaptive pricing schemes. Nevertheless, the ability to read fine-granular measurements constitutes a serious privacy threat to the consumers. Therefore, it is crucial to consider the privacy issues in smart grid in order to preserve consumers' privacy and protect data integrity. In this paper, we propose a Privacy-Preserving and Cheat-Resilient (PPCR) electricity consumption reporting scheme for smart grid communication. PPCR adopts incremental hash function to conceal consumers' energy usage data from unauthorized parties, as well as the utility companies. The proposed scheme enables utility provider to perform data integrity check without disrupting smart grid services such as load management and billing. Security analysis is conducted to demonstrate that PPCR withstands malicious operations, preserves consumers' privacy and is robust to adversaries' cheating and smart meters malfunction.
引用
收藏
页数:5
相关论文
共 18 条
[1]  
Bellare M., 1994, LECT NOTES COMPUTER, V839
[2]  
Cuijpers C., 2013, European data protection: Coming of age, P269, DOI DOI 10.1007/978-94-007-5170-5_12
[3]  
Dominik E., 2013, 1 ACM WORKSH INF HID
[4]  
Dominik E., 2013, WAVELET BASED LOAD P, P1
[5]  
Erkin Z., 2012, P INT C APPL CRYPT N
[6]   Privacy-Preserving Data Aggregation in Smart Metering Systems [J].
Erkin, Zekeriya ;
Ramon Troncoso-Pastoriza, Juan ;
Lagendijk, R. L. ;
Perez-Gonzalez, Fernando .
IEEE SIGNAL PROCESSING MAGAZINE, 2013, 30 (02) :75-86
[7]   Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities [J].
Fan, Zhong ;
Kulkarni, Parag ;
Gormus, Sedat ;
Efthymiou, Costas ;
Kalogridis, Georgios ;
Sooriyabandara, Mahesh ;
Zhu, Ziming ;
Lambotharan, Sangarapillai ;
Chin, Woon Hau .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2013, 15 (01) :21-38
[8]   Disaggregated End-Use Energy Sensing for the Smart Grid [J].
Froehlich, Jon ;
Larson, Eric ;
Gupta, Sidhant ;
Cohn, Gabe ;
Reynolds, Matthew S. ;
Patel, Shwetak N. .
IEEE PERVASIVE COMPUTING, 2011, 10 (01) :28-39
[9]  
Garcia FD, 2011, LECT NOTES COMPUT SC, V6710, P226, DOI 10.1007/978-3-642-22444-7_15
[10]  
Goi B-M., 2001, LECT NOTES COMPUTER, V2247