An efficient and privacy-preserving blockchain-based secure data aggregation in smart grids

被引:6
|
作者
Mahmood, Azhar [1 ]
Khan, Abid [2 ]
Anjum, Adeel [3 ]
Maple, Carsten [4 ]
Jeon, Gwanggil [5 ,6 ]
机构
[1] COMSATS Univ Islamabad, Dept Comp Sci, Islamabad, Pakistan
[2] Univ Derby, Coll Sci & Engn, Derby DE22 1GB, England
[3] Quaid i Azam Univ Islamabad, Inst Informat Technol, Islamabad, Pakistan
[4] Univ Warwick, WMG, Coventry CV4 7AL, W Midlands, England
[5] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
[6] Incheon Natl Univ, Dept Embedded Syst Engn, Incheon 22012, South Korea
基金
英国工程与自然科学研究理事会;
关键词
Smart grid; Privacy preserving; Integrity; Authentication; Distributed ledger technology; SCHEME;
D O I
10.1016/j.seta.2023.103414
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Smart Grids (SGs) present a number of advantages over traditional grid like reduce energy cost, reduce energy wastage, and increase reliability and transparency. However, it also introduces a number of security and privacy issues not foreseen before. These are very serious issues from consumer's perspective who do not want any malicious entity to infer any personal information from the consumption data. Data aggregation plays a significant role in protecting user's consumption data. SGs deploy a single entity, called an aggregator, to collect and aggregate end users' encrypted consumption data. While a number of secure data aggregation schemes have been proposed, many existing schemes suffer from a single point of failure in the aggregation process. Recently, some blockchain-based data aggregation schemes have been proposed to overcome this problem. While overcoming the failure issues, these schemes do not provide the necessary security and privacy requirements of smart grids. Furthermore, these schemes suffer from high computation and communication cost due to the use of RSA-based signatures. In order to solve these issues, this paper proposes a decentralized secure data aggregation scheme using blockchain which preserves privacy, integrity, authentication, and confidentiality of individual consumption data. Experimental results show that the proposed scheme effectively protects end user consumption data.
引用
收藏
页数:11
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