Comments on "Enabling Verifiable Privacy-Preserving Multi-Type Data Aggregation in Smart Grids"

被引:0
|
作者
Liu, Hang [1 ]
Ming, Yang [1 ]
Wang, Chenhao [1 ]
Zhao, Yi [1 ]
Li, Yabin [1 ]
机构
[1] Changan Univ, Sch Informat Engn, Xian 710064, Peoples R China
基金
中国国家自然科学基金;
关键词
Electricity; Smart grids; Data privacy; Data aggregation; Privacy; Aggregates; Behavioral sciences; data privacy; misbehaved aggregator; smart grid;
D O I
10.1109/TDSC.2024.3374955
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Most recently, Zhang et al. (2022) presented a verifiable data aggregation scheme for smart grids in IEEE Transactions on Dependable and Secure Computing. The authors claim that the privacy of the user's electricity data is preserved, and the control center can check whether the aggregator honestly computes the aggregated ciphertext. However, we indicate that Zhang et al.'s scheme fails to provide the properties of data privacy and aggregate correctness guarantee. Specifically, by offering concrete attacks, we illustrate that the adversary who has the ability to obtain the decryption key of control center can decrypt any user's ciphertext to get the detailed electricity data, and a misbehaved aggregator will not be detected when it does have some malicious behavior.
引用
收藏
页码:5308 / 5310
页数:3
相关论文
共 50 条
  • [41] Verifiable and Privacy-preserving Fine-Grained Data-Collection for Smart Metering
    Ambrosin, Moreno
    Hosseini, Hossein
    Mandal, Kalikinkar
    Conti, Mauro
    Poovendran, Radha
    2015 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS), 2015, : 655 - 658
  • [42] PMDA: Privacy-Preserving Multi-Functional Data Aggregation without TTP in Smart Grid
    He, Zheng
    Pan, Shiran
    Lin, Dongdai
    2018 17TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (IEEE TRUSTCOM) / 12TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (IEEE BIGDATASE), 2018, : 1107 - 1114
  • [43] Lightweight and efficient privacy-preserving data aggregation approach for the Smart Grid
    Badra, Mohamad
    Zeadally, Sherali
    AD HOC NETWORKS, 2017, 64 : 32 - 40
  • [44] A Privacy-Preserving State Estimation Scheme for Smart Grids
    Tran, Hong-Yen
    Hu, Jiankun
    Pota, Hemanshu R.
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2023, 20 (05) : 3940 - 3956
  • [45] LPDA: A Lightweight Privacy-preserving Data Aggregation Scheme for Smart Grid
    Alharbi, Khalid
    Lin, Xiaodong
    2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2012), 2012,
  • [46] Privacy-Preserving Data Aggregation for Single Point of Failure in Smart Grid
    Yang, Qingyu
    Ding Zhifan
    24TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC 2021): PAVING THE WAY FOR DIGITAL AND WIRELESS TRANSFORMATION, 2021,
  • [47] Efficient and Privacy-Preserving Data Aggregation Scheme for Smart Grid Against Internal Adversaries
    He, Debiao
    Kumar, Neeraj
    Zeadally, Sherali
    Vinel, Alexey
    Yang, Laurence T.
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (05) : 2411 - 2419
  • [48] PFDAM: Privacy-Preserving Fine-Grained Data Aggregation Scheme Supporting Multifunctionality in Smart Grid
    Zhang, Jianhong
    Wei, Jie
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (15): : 25520 - 25533
  • [49] Efficient Blockchain-Based Data Aggregation Scheme With Privacy-Preserving on the Smart Grid
    Lei, Lijing
    Wang, Feng
    Zhao, Chenbin
    Xu, Li
    IEEE TRANSACTIONS ON SMART GRID, 2024, 15 (06) : 6112 - 6125
  • [50] Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks
    Braeken, An
    Kumar, Pardeep
    Martin, Andrew
    ENERGIES, 2018, 11 (08):