PPMA: Privacy-Preserving Multisubset Data Aggregation in Smart Grid

被引:152
|
作者
Li, Shaohua [1 ]
Xue, Kaiping [1 ]
Yang, Qingyou [1 ]
Hong, Peilin [1 ]
机构
[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Multisubset aggregation; privacy-preserving; security; smart grid; ADVANCED METERING INFRASTRUCTURE; FAULT-TOLERANCE; DEMAND RESPONSE; KEY MANAGEMENT; SCHEME; AUTHENTICATION; SECURITY;
D O I
10.1109/TII.2017.2721542
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Privacy-preserving data aggregation has been extensively studied in smart grid. However, almost all existing schemes aggregate the total electricity consumption data of the whole user set, which sometimes cannot meet the fine-grained demands from control center in smart grid. In this paper, we propose a privacy-preserving multisubset data aggregation scheme, named PPMA, in smart grid. PPMA can aggregate users' electricity consumption data of different ranges, while guaranteeing the privacy of individual users. Detailed security analysis shows that PPMA can protect individual user's electricity consumption privacy against a strong adversary. In addition, extensive experiments results demonstrate that PPMA has less computation overhead and no more extra communication and storage costs.
引用
收藏
页码:462 / 471
页数:10
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