A privacy-preserving multidimensional data aggregation scheme with secure query processing for smart grid

被引:13
|
作者
Singh, Ashutosh Kumar [1 ]
Kumar, Jatinder [1 ]
机构
[1] Natl Inst Technol, Dept Comp Applicat, Kurukshetra 136119, Haryana, India
来源
JOURNAL OF SUPERCOMPUTING | 2023年 / 79卷 / 04期
关键词
Outsourced cloud; Homomorphic encryption; Fog computing; Security and privacy; CHALLENGES;
D O I
10.1007/s11227-022-04794-9
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A smart meter is a critical component of the smart grid that collects data and reports to electricity companies in several minutes or seconds. The real-time power consumption of smart meters helps electricity companies to provide reliable services but can expose smart meter customers' privacy. Therefore, aggregation of encrypted power consumption of smart meters is used to protect privacy. To meet the requirements, we propose a Privacy-Preserving Multidimensional Data Aggregation (PP-MDA) scheme for smart grid. Paillier cryptosystem is used to aggregate the encrypted power consumption at the fog and cloud sites. In addition to aggregation, PP-MDA scheme is also used for secure query processing; ID-based and time-based. Simulation results show the superiority of the PP-MDA scheme with existing solutions in terms of communication cost and features.
引用
收藏
页码:3750 / 3770
页数:21
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