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A New Secure and Anonymous Metering Scheme for Smart Grid Communications

Author

Listed:
  • Shaohao Xie

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
    Guangdong Key Laboratory of Information Security, Guangzhou 510006, China)

  • Fangguo Zhang

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
    Guangdong Key Laboratory of Information Security, Guangzhou 510006, China)

  • Huizhi Lin

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
    Guangdong Key Laboratory of Information Security, Guangzhou 510006, China)

  • Yangtong Tian

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
    Guangdong Key Laboratory of Information Security, Guangzhou 510006, China)

Abstract

The smart meter is one of the most important components of the smart grid, which enables bi-directional communication between electric power providers and in-home appliances. However, the fine-grained metering mechanism that reports real-time electricity usage to the provider may result in some privacy and security issues for the owner of the smart meter. In this paper, we propose a new secure and anonymous smart metering scheme based on the technique of direct anonymous attestation and identity-based signatures. We utilize the trusted platform module to realize the tamper resistance of the smart meter. Moreover, our scheme is able to detect malfunctioning meters in which data is reported more than once in a time period. Finally, the performance and security results show that our proposed scheme is efficient and satisfies the security requirements of the smart grid communication system.

Suggested Citation

  • Shaohao Xie & Fangguo Zhang & Huizhi Lin & Yangtong Tian, 2019. "A New Secure and Anonymous Metering Scheme for Smart Grid Communications," Energies, MDPI, vol. 12(24), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4751-:d:297437
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    References listed on IDEAS

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    1. Mashayekh, Salman & Stadler, Michael & Cardoso, Gonçalo & Heleno, Miguel, 2017. "A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids," Applied Energy, Elsevier, vol. 187(C), pages 154-168.
    2. Isa, Normazlina Mat & Tan, Chee Wei & Yatim, A.H.M., 2018. "A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2236-2263.
    3. Liu, Guodong & Jiang, Tao & Ollis, Thomas B. & Zhang, Xiaohu & Tomsovic, Kevin, 2019. "Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics," Applied Energy, Elsevier, vol. 239(C), pages 83-95.
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    Cited by:

    1. Giuseppe Barone & Giovanni Brusco & Daniele Menniti & Anna Pinnarelli & Gaetano Polizzi & Nicola Sorrentino & Pasquale Vizza & Alessandro Burgio, 2020. "How Smart Metering and Smart Charging may Help a Local Energy Community in Collective Self-Consumption in Presence of Electric Vehicles," Energies, MDPI, vol. 13(16), pages 1-18, August.
    2. Taha Selim Ustun, 2022. "Cybersecurity in Smart Grids," Energies, MDPI, vol. 15(15), pages 1-3, July.

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