Verifiable Privacy-Preserving Payment Mechanism for Smart Grids

被引:2
|
作者
Fan, Chun-, I [1 ]
Tseng, Yi-Fan [1 ]
Huang, Jheng-Jia [1 ]
Chen, Yen-Hao [1 ]
Kuo, Hsin-Nan [1 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 80424, Taiwan
来源
关键词
Smart grid; Data aggregation; Blind signature; Electronic cash; Privacy-preserving; AGGREGATION SCHEME; SECURITY;
D O I
10.1007/978-3-030-02738-4_5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart grids have become a future trend due to the development of technology and increased energy demand and consumption. In smart grids, a user's electricity consumption is recorded by their smart meters, and the smart meters submit the data to the operation center in each time unit for monitoring. The operation center analyzes the data it receives to estimate user's electricity usage in the next time unit and to ensure dynamic energy distribution. Compared to traditional grids, the electricity can be flexibly controlled, and waste is decreased in smart grids. However, details of user's daily lives may be leaked out through the frequent monitoring of user's electricity usage, which causes the problem of privacy preserving. To solve the problem, data aggregation mechanisms are adopted in this environment. The power usage data in the same units are aggregated before being sent to the operation center. This aggregation prevents personal electricity usage data from being shared with the operation center. Thus, a user's privacy is protected. Along with the increase in the number of research studies on smart grids, many studies on the privacy-preserving issues of power usage have been published. However, both power usage data and electricity payment data may jeopardize user's privacy. The operation center is able to obtain user's private information by analyzing a user's electricity payments. Therefore, we propose a verifiable privacy-preserving payment mechanism for smart grids. In our scheme, users can submit electricity payments without revealing any private information and the operation center can verify the correctness of the payment.
引用
收藏
页码:52 / 63
页数:12
相关论文
共 50 条
  • [1] Lightweight Verifiable Privacy-Preserving Data Aggregation for Smart Grids
    Zhu, Fei
    Guo, Duan
    Abuadbba, Sharif
    Yi, Xun
    Luo, Junwei
    Kumari, Saru
    Peng, Tao
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (19): : 31249 - 31259
  • [2] 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
  • [3] Enabling Verifiable Privacy-Preserving Multi-Type Data Aggregation in Smart Grids
    Zhang, Xiaojun
    Huang, Chao
    Zhang, Yuan
    Cao, Sheng
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 19 (06) : 4225 - 4239
  • [4] 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
  • [5] Comments on "Enabling Verifiable Privacy-Preserving Multi-Type Data Aggregation in Smart Grids"
    Liu, Hang
    Ming, Yang
    Wang, Chenhao
    Zhao, Yi
    Li, Yabin
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2024, 21 (06) : 5308 - 5310
  • [6] Privacy-Preserving Verifiable CNNs
    Attrapadung, Nuttapong
    Hanaoaka, Goichiro
    Hiromasa, Ryo
    Koseki, Yoshihiro
    Matsuda, Takahiro
    Nishida, Yutaro
    Sakai, Yusuke
    Schuldt, Jacob C. N.
    Yasuda, Satoshi
    APPLIED CRYPTOGRAPHY AND NETWORK SECURITY, ACNS 2024, PT II, 2024, 14584 : 373 - 402
  • [7] Verifiable and Privacy-Preserving Ad Exchange for Smart Targeted Advertising
    Mosher, Brennan
    Li, Xiangman
    He, Yuanyuan
    Ni, Jianbing
    2023 20TH ANNUAL INTERNATIONAL CONFERENCE ON PRIVACY, SECURITY AND TRUST, PST, 2023, : 308 - 316
  • [8] Secure and privacy-preserving information aggregation for smart grids
    Li F.
    Luo B.
    Liu P.
    International Journal of Security and Networks, 2011, 6 (01) : 28 - 39
  • [9] PRIVACY-PRESERVING ENERGY FLOW CONTROL IN SMART GRIDS
    Li, Zuxing
    Oechtering, Midas J.
    Skogiund, Mikael
    2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 2194 - 2198
  • [10] 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