A Secure, lightweight, and verifiable data aggregation scheme for smart grids

被引:2
作者
Yu, Pengfei [1 ,2 ]
Huang, Weicong [1 ,2 ]
Li, Zhenjiang [3 ]
机构
[1] China Elect Power Res Inst, Nanjing 210003, Peoples R China
[2] State Grid Lab Power Cyber Secur Protect & Monitor, Nanjing 210003, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Sch Cyber Secur, Chengdu 611731, Peoples R China
关键词
Smart grid; Privacy-preserving; Data aggregation; Verification; PRESERVING DATA AGGREGATION; EFFICIENT;
D O I
10.1007/s12083-025-01960-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the digital era, the extensive implementation of smart meters has revolutionized grid management by enabling detailed, real-time electricity consumption analysis every 15 to 30 minutes, thereby optimizing energy distribution and enhancing service reliability. However, the detailed data captured by smart meters, while beneficial for grid management, raises significant privacy concerns as it can reveal personal user behaviors, thereby posing a threat to individual privacy. To address this challenge, this paper introduces an advanced Verifiable Privacy-Preserving Data Aggregation (VPPDA) scheme for smart grids. This scheme proposes a novel protocol (HTVDA) that incorporates the Paillier cryptosystem with a threshold decryption technique to hide the private key of our system, ensuring that the private key is not available to any participant other than the TTP. As a result, HTVDA is able to prevent user collusion and key leakage. Preliminary tests demonstrate that our approach significantly reduces the computational and communication overhead compared to existing methods, enhancing encryption speed by up to approximately seven times while maintaining high-security levels.
引用
收藏
页数:11
相关论文
共 22 条
[1]   A Lightweight Lattice-Based Homomorphic Privacy-Preserving Data Aggregation Scheme for Smart Grid [J].
Abdallah, Asmaa ;
Shen, Xuemin .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (01) :396-405
[2]   Lightweight and efficient privacy-preserving data aggregation approach for the Smart Grid [J].
Badra, Mohamad ;
Zeadally, Sherali .
AD HOC NETWORKS, 2017, 64 :32-40
[3]  
Bellare M., 1994, Advances in Cryptology - CRYPTO '94. 14th Annual International Cryptology Conference. Proceedings, P216
[4]  
Chaudhary D, 2024, LECT NOTES ELECTR EN, V1099, P33, DOI 10.1007/978-981-99-7630-0_3
[5]   Homomorphic Proxy Re-Authenticators and Applications to Verifiable Multi-User Data Aggregation [J].
Derler, David ;
Ramacher, Sebastian ;
Slamanig, Daniel .
FINANCIAL CRYPTOGRAPHY AND DATA SECURITY, FC 2017, 2017, 10322 :124-142
[6]  
Fouque PA, 2001, LECT NOTES COMPUT SC, V1962, P90
[7]  
Garcia FD, 2011, LECT NOTES COMPUT SC, V6710, P226, DOI 10.1007/978-3-642-22444-7_15
[8]   Lightweight and Privacy-Friendly Spatial Data Aggregation for Secure Power Supply and Demand Management in Smart Grids [J].
Gope, Prosanta ;
Sikdar, Biplab .
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2019, 14 (06) :1554-1566
[9]   Lightweight privacy preserving data aggregation with batch verification for smart grid [J].
Guo, Cheng ;
Jiang, Xueru ;
Choo, Kim-Kwang Raymond ;
Tang, Xinyu ;
Zhang, Jing .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 112 :512-523
[10]   Efficient and Privacy-Preserving Data Aggregation Scheme for Smart Grid Against Internal Adversaries [J].
He, Debiao ;
Kumar, Neeraj ;
Zeadally, Sherali ;
Vinel, Alexey ;
Yang, Laurence T. .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (05) :2411-2419