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计算机系统应用英文版:2022,31(10):80-89

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雾辅助智能电网中容错隐私保护数据聚合方案

(1.福建师范大学计算机与网络空间安全学院, 福州 350117;2.福建师范大学福建省网络空间安全与密码技术实验室, 福州 350117;3.福建师范大学数字福建大数据安全技术研究所, 福州 350117;4.福建工程学院计算机科学与数学学院, 福州 350118)

Fault-tolerant and Privacy-preserving Data Aggregation Scheme in Fog-assisted Smart Grid

XIE Jin-Hong^1,2,3, CHEN Jian-Wei^1,2,3, LIN Li-Wei⁴, ZHANG Mei-Ping^1,2

(1.College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China;2.Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China;3.Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou 350117, China;4.School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou 350118, China)

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Received:January 07, 2022 Revised:February 18, 2022

中文摘要: 针对雾辅助智能电网数据收集过程中存在的隐私泄露问题, 本文提出一种新的支持容错的隐私保护数据聚合方案. 首先, 结合BGN同态加密算法和Shamir秘密共享方案确保电量数据的隐私性. 同时, 基于椭圆曲线离散对数困难问题构造高效的签名认证方法保证数据的完整性. 特别地, 方案具有两种容错措施, 当部分智能电表数据无法正常发送或部分云服务器遭受攻击而无法工作时, 方案仍然能够进行聚合统计. 安全分析证明了方案满足智能电网的安全需求; 性能实验表明, 与已有方案相比, 本文方案计算和通信性能更优.

中文关键词: 智能电网雾计算数据聚合隐私保护容错

Abstract:For the privacy leakage during the data collection of fog-assisted smart grids, this study proposes a novel privacy-preserving data aggregation scheme with fault tolerance. Firstly, the BGN homomorphic encryption algorithm and the Shamir secret sharing scheme are combined to protect data privacy. At the same time, an efficient signature authentication method is constructed based on the elliptic curve discrete logarithm problem to ensure data integrity. In particular, the scheme has two fault-tolerant measures. When some smart meter data cannot be sent normally or some cloud servers fail to work because of attacks, the scheme can still perform aggregate statistics. The security analysis proves that the scheme meets the security requirements of the smart grid. The performance experiments show that the proposed scheme has better computational and communication performance than the existing schemes.

keywords: smart grid fog computing data aggregation privacy protection fault tolerance

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基金项目:福建省自然科学基金(2018J01782); 国家自然科学基金海峡联合基金重点项目(U1905211); 福建省教育厅中青年科研项目(JAT170114, JAT170115)

Author Name	Affiliation	E-mail
XIE Jin-Hong	College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou 350117, China
CHEN Jian-Wei	College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou 350117, China	jwchenfj@fjnu.edu.cn
LIN Li-Wei	School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou 350118, China
ZHANG Mei-Ping	College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China

Author Name	Affiliation	E-mail
XIE Jin-Hong	College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou 350117, China
CHEN Jian-Wei	College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou 350117, China	jwchenfj@fjnu.edu.cn
LIN Li-Wei	School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou 350118, China
ZHANG Mei-Ping	College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China

引用文本：
谢金宏,陈建伟,林力伟,张美平.雾辅助智能电网中容错隐私保护数据聚合方案.计算机系统应用,2022,31(10):80-89
XIE Jin-Hong,CHEN Jian-Wei,LIN Li-Wei,ZHANG Mei-Ping.Fault-tolerant and Privacy-preserving Data Aggregation Scheme in Fog-assisted Smart Grid.COMPUTER SYSTEMS APPLICATIONS,2022,31(10):80-89