Secure and Privacy-preserving Energy Trading Scheme based on Blockchain

被引:2
|
作者
Jiang, Shunrong [1 ]
Zhang, Xiaoyan [1 ]
Li, Jinpeng [1 ]
Yue, Hao [2 ]
Zhou, Yong [1 ]
机构
[1] China Univ Min & Technol, Dept Informat Sci, Xuzhou 221116, Jiangsu, Peoples R China
[2] San Francisco State Univ, Dept Comp Sci, San Francisco, CA 94132 USA
关键词
D O I
10.1109/GLOBECOM42002.2020.9348246
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The large-scale integration of distributed energy resources has resulted in surgical changes in energy trading systems. Traditional centralized trading systems suffer from high management cost and low efficiency. The recent advance of blockchain technology has enabled the invention of distributed energy trading systems, which can overcome the limitations of centralized trading systems. However, the distributed energy trading systems also bring new security and privacy challenges. For instance, transactions on blockchain are publicly visible which can lead to privacy leakage of trading information. Moreover, user privacy can also be leaked during verification of the aggregated energy trading result. In this paper, we propose a privacy-preserving energy trading scheme based on blockchain to meet the security requirements for distributed energy trading. We adopt a stealth transmission approach based on blockchain to ensure data privacy and break the linkage between consumers and providers in the energy trading process. We also use the non-interactive zero-knowledge proof technology to achieve privacy-preserving and trustworthy trading result verification. Security analysis and evaluation results have demonstrated that the proposed scheme can effectively protect the data privacy for distributed energy trading systems.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] A Blockchain-Based Privacy-Preserving Authentication Scheme for VANETs
    Lu, Zhaojun
    Wang, Qian
    Qu, Gang
    Zhang, Haichun
    Liu, Zhenglin
    [J]. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2019, 27 (12) : 2792 - 2801
  • [32] A Blockchain-Based Privacy-Preserving Scheme for Smart Grids
    Chen, Xin
    Shen, Jiachen
    Cao, Zhenfu
    Dong, Xiaolei
    [J]. 2020 2ND INTERNATIONAL CONFERENCE ON BLOCKCHAIN TECHNOLOGY (ICBCT 2020), 2020, : 120 - 124
  • [33] A Blockchain based Privacy-Preserving Reputation Scheme for Cloud Service
    Geng, Ziye
    He, Yunhua
    Wang, Chao
    Xu, Gang
    Xiao, Ke
    Yu, Shui
    [J]. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [34] Privacy-Preserving Computation for Peer-to-Peer Energy Trading on a Public Blockchain
    Mitrea, Dan
    Cioara, Tudor
    Anghel, Ionut
    [J]. SENSORS, 2023, 23 (10)
  • [35] A Privacy-Preserving Lightweight Energy Data Sharing Scheme Based on Blockchain for Smart Grid
    Li, Xinyang
    Wang, Yujue
    Ding, Yong
    Ma, Shiye
    Xiao, Bei
    Guo, Zhihong
    Kang, Xiaorui
    Ma, Xiaohui
    Mai, Jia
    [J]. COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2022, PT II, 2022, 461 : 91 - 110
  • [36] SecBCS: a secure and privacy-preserving blockchain-based crowdsourcing system
    Chao Lin
    Debiao He
    Sherali Zeadally
    Neeraj Kumar
    Kim-Kwang Raymond Choo
    [J]. Science China Information Sciences, 2020, 63
  • [37] A Novel Secure and Privacy-Preserving Model for OpenID Connect Based on Blockchain
    Yousra, Belfaik
    Yassine, Sadqi
    Yassine, Maleh
    Said, Safi
    Lo'ai, Tawalbeh
    Salah, Khaled
    [J]. IEEE ACCESS, 2023, 11 : 67660 - 67678
  • [38] TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map
    Wang, Qianlong
    Ji, Tianxi
    Guo, Yifan
    Yu, Lixing
    Chen, Xuhui
    Li, Pan
    [J]. IEEE ACCESS, 2020, 8 : 60598 - 60612
  • [39] SecBCS: a secure and privacy-preserving blockchain-based crowdsourcing system
    Chao LIN
    Debiao HE
    Sherali ZEADALLY
    Neeraj KUMAR
    Kim-Kwang Raymond CHOO
    [J]. Science China(Information Sciences), 2020, 63 (03) : 20 - 33
  • [40] SecBCS: a secure and privacy-preserving blockchain-based crowdsourcing system
    Lin, Chao
    He, Debiao
    Zeadally, Sherali
    Kumar, Neeraj
    Choo, Kim-Kwang Raymond
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (03)