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
  • [31] LVPDA: A Lightweight and Verifiable Privacy-Preserving Data Aggregation Scheme for Edge-Enabled IoT
    Zhang, Jiale
    Zhao, Yanchao
    Wu, Jie
    Chen, Bing
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (05): : 4016 - 4027
  • [32] Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
    Jiang, Bo
    Li, Ming
    Tandon, Ravi
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 19 (03) : 1918 - 1935
  • [33] Privacy-Preserving Outsourcing Algorithms for Multidimensional Data Encryption in Smart Grids
    Zhai, Feng
    Yang, Ting
    Zhao, Bing
    Chen, Hao
    SENSORS, 2022, 22 (12)
  • [34] A Review of Privacy-Preserving Aggregation Schemes for Smart Grid
    Dias, Lucas
    Rizzetti, Tiago Antonio
    IEEE LATIN AMERICA TRANSACTIONS, 2021, 19 (07) : 1109 - 1120
  • [35] Enabling Efficient and Privacy-Preserving Aggregation Communication and Function Query for Fog Computing-Based Smart Grid
    Liu, Jia-Nan
    Weng, Jian
    Yang, Anjia
    Chen, Yizhao
    Lin, Xiaodong
    IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (01) : 247 - 257
  • [36] Edge Blockchain Assisted Lightweight Privacy-Preserving Data Aggregation for Smart Grid
    Lu, Weifeng
    Ren, Zhihao
    Xu, Jia
    Chen, Siguang
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (02): : 1246 - 1259
  • [37] OPERA: Optional Dimensional Privacy-Preserving Data Aggregation for Smart Healthcare Systems
    Liu, Huadong
    Gu, Tianlong
    Shojafar, Mohammad
    Alazab, Mamoun
    Liu, Yining
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (01) : 857 - 866
  • [38] PREEN: An Aggregation Mechanism for Privacy-Preserving Smart-Metering Communications
    Wang, Tao
    Jin, Jing
    Gu, Xin
    Zhang, Yuping
    Chen, Xiaoyu
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (01) : 2949 - 2959
  • [39] Efficient and Privacy-Preserving Massive Data Processing for Smart Grids
    Shen, Hua
    Zhang, Mingwu
    Wang, Hao
    Guo, Fuchun
    Susilo, Willy
    IEEE ACCESS, 2021, 9 : 70616 - 70627
  • [40] Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
    Kserawi, Fawaz
    Al-Marri, Saeed
    Malluhi, Qutaibah
    IEEE ACCESS, 2022, 10 : 43159 - 43174