A Privacy-Preserving Data-Sharing Framework for Smart Grid

被引:18
作者
Alharbi, Khalid Nawaf [1 ]
Lin, Xiaodong [1 ]
Shao, Jun [2 ]
机构
[1] Univ Ontario Inst Technol, Fac Business & Informat Technol, Oshawa, ON L1H 7K4, Canada
[2] Zhejiang Gongshang Univ, Dept Informat Secur, Hangzhou 310018, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2017年 / 4卷 / 02期
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Cloud computing; data sharing; homomorphic encryption; privacy-preserving; proxy re-encryption; smart grid;
D O I
10.1109/JIOT.2016.2561908
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Distributed energy resources (ERs), featured with small-scale power generation technologies and renewable energy sources, are considered as necessary supplements for smart grid. To ensure that merged resources contribute effectively to the grid, data generated by consumer side should be shared among the ERs. However, it also introduces challenges of the protection of consumer privacy. To address these difficulties, we propose a new framework to share data in smart grid by leveraging new advances in homomorphic encryption and proxy re-encryption. Our proposed framework allows ERs to analyze consumer data while ensuring consumer privacy. An additional benefit of our proposed framework is that consumer data is transmitted over the smart grid only once. Furthermore, we present a concrete scheme falling into the proposed framework. Extensive analysis shows that the concrete scheme is secure and efficient.
引用
收藏
页码:555 / 562
页数:8
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