Smart Contract Assisted Privacy-Preserving Data Aggregation and Management Scheme for Smart Grid

被引:8
|
作者
Hu, Chunqiang [1 ,2 ]
Liu, Zewei [3 ]
Li, Ruinian [4 ]
Hu, Pengfei [5 ]
Xiang, Tao [6 ]
Han, Meng [7 ]
机构
[1] Chongqing Univ, Sch Big Data & Software Engn, Chongqing 400050, Peoples R China
[2] Joint Lab Cyberspace Secur, China Southern Power Grid, Guangzhou 510530, Peoples R China
[3] Chongqing Univ, Sch Big Data & Software Engn, Chongqing 400044, Peoples R China
[4] Bowling Green State Univ, Comp Sci Dept, Bowling Green, OH 43402 USA
[5] Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Shandong, Peoples R China
[6] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China
[7] Zhejiang Univ, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Data aggregation; differential attack; privacy protection; smart contract; smart grid; SECURE DATA AGGREGATION; EFFICIENT; COMMUNICATION; LIGHTWEIGHT;
D O I
10.1109/TDSC.2023.3300749
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Data aggregation plays a crucial role in smart grid communication as it enables the collection of data in an energy-efficient manner. However, the widespread deployment of smart meters has raised significant concerns regarding the privacy of users' personal data. Therefore, in this paper, we present an efficient and privacy-preserving data aggregation and trust management scheme (PATM) for an IoT-enabled smart grid based on smart contract. First, we propose a five-layer architecture for smart grid communication to support secure and efficient data aggregation and management. Under the architecture, the Boneh-Goh-Nissim cryptosystem with blind factor is improved to facilitate privacy protection. In addition, the tamper-evident nature of blockchain is utilized for effective data management. Our designs also enhance the resistance to differential attack and prevent privacy breaches during the aggregation process. Detailed security proof and theoretical analysis confirm that our PATM can satisfies the necessary security and privacy requirements while maintaining the required efficiency for smart grid operations. Furthermore, comparative experiments demonstrate that PATM outperforms other proposed work in terms of storage cost, computational complexity, and utility of differential privacy.
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页码:2145 / 2161
页数:17
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