Lightweight Verifiable Privacy-Preserving Data Aggregation for Smart Grids

被引:0
|
作者
Zhu, Fei [1 ]
Guo, Duan [1 ]
Abuadbba, Sharif [2 ]
Yi, Xun [3 ]
Luo, Junwei [3 ]
Kumari, Saru [4 ,5 ]
Peng, Tao [1 ]
机构
[1] Wuhan Text Univ, Sch Comp Sci & Artificial Intelligence, Wuhan 430200, Peoples R China
[2] CSIROs Data61, Distributed Syst Secur Grp, Marsfield, NSW 2122, Australia
[3] RMIT Univ, Sch Comp Technol, Melbourne, Vic 3000, Australia
[4] Chaudhary Charan Singh Univ, Dept Math, Meerut 250004, India
[5] Lovely Profess Univ, Sch Chem Engn & Phys Sci, Jalandhar 144411, India
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 19期
基金
澳大利亚研究理事会;
关键词
Authentication; certificate-based; confidentiality; privacy; smart grid; DEMAND-RESPONSE; SCHEME; EFFICIENT; SECURITY; SIGNATURES; ECC;
D O I
10.1109/JIOT.2024.3419161
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As an indispensable part of a smart city, the smart grid has gained widespread attention from industrial and academic communities. How to securely collect users' real-time energy consumption data to provide services such as big data analytics and demand-response services while ensuring the privacy of individual users is a challenging issue in the smart grid. The privacy-preserving data aggregation (P2DA) suggests a feasible solution. For years, researchers have designed numerous P2DA schemes for securing smart grids. Unfortunately, the majority of them have some security and privacy deficiencies. Other schemes are unsuitable for resource-constrained smart meters due to expensive cryptographic operations. In this work, we design a lightweight verifiable certificate-based P2DA scheme LV-P2DA without pairings for smart grids. We formally prove its security under standard cryptographic assumptions. The performance comparison results illustrate that compared with state-of-the-art solutions, our design achieves at least a 99.43% improvement in computational cost and a 32.96% improvement in communication cost on the smart meter side, respectively.
引用
收藏
页码:31249 / 31259
页数:11
相关论文
共 50 条
  • [41] A Privacy-Preserving Middleware Mechanism for Smart Grids
    Wu, Yifu
    He, Youbiao
    Mendis, Gihan J.
    Wei, Jin
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA 2017), 2017, : 394 - 399
  • [42] PPMA: Privacy-Preserving Multisubset Data Aggregation in Smart Grid
    Li, Shaohua
    Xue, Kaiping
    Yang, Qingyou
    Hong, Peilin
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (02) : 462 - 471
  • [43] Privacy-Preserving Spatial and Temporal Aggregation of Smart Energy Data
    Ang, Yi Han
    Keoh, Sye Loong
    Tang, Zhaohui
    JOURNAL OF INFORMATION ASSURANCE AND SECURITY, 2016, 11 (04): : 214 - 222
  • [44] Computation of privacy-preserving prices in smart grids
    Koufogiannis, Fragkiskos
    Han, Shuo
    Pappas, George J.
    2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 2142 - 2147
  • [45] Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid
    Zhou, Yousheng
    Chen, Xinyun
    Chen, Meihuan
    SECURITY AND COMMUNICATION NETWORKS, 2020, 2020
  • [46] A novel Approach for Privacy-Preserving Data Aggregation in Smart Grid
    Ben Romdhane, Rihem
    Hammami, Hamza
    Hamdi, Mohamed
    Kim, Tai-Hoon
    2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2019, : 1060 - 1066
  • [47] Privacy-Preserving Outsourcing Algorithms for Multidimensional Data Encryption in Smart Grids
    Zhai, Feng
    Yang, Ting
    Zhao, Bing
    Chen, Hao
    SENSORS, 2022, 22 (12)
  • [48] PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things
    Gheisari M.
    Javadpour A.
    Gao J.
    Abbasi A.A.
    Pham Q.-V.
    Liu Y.
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (05) : 5211 - 5223
  • [49] A secure and lightweight privacy-preserving data aggregation scheme for internet of vehicles
    Peng Hu
    Yongli Wang
    Bei Gong
    Yongjian Wang
    Yanchao Li
    Ruxin Zhao
    Hao Li
    Bo Li
    Peer-to-Peer Networking and Applications, 2020, 13 : 1002 - 1013
  • [50] A secure and lightweight privacy-preserving data aggregation scheme for internet of vehicles
    Hu, Peng
    Wang, Yongli
    Gong, Bei
    Wang, Yongjian
    Li, Yanchao
    Zhao, Ruxin
    Li, Hao
    Li, Bo
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2020, 13 (03) : 1002 - 1013