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An anonymous and identity-trackable data transmission scheme for smart grid under smart city notion

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Abstract

In addition to changing service management, smart devices connect people and objects around them and collect data from them on and on, in order to construct the notion of a smart city. Such data produced by embedded devices and automatically transmitted over the Internet provides people with the information to make decisions. A smart grid is one of the most popular applications for a smart city. Due to the insecurity of the wireless channels, the security of data transmission in a smart grid has become a hot issue nowadays. Many schemes for data protection have been proposed, but weaknesses exist generally. We present a new data transmission scheme for a smart grid among the smart meter (SM), the electricity utility (EU), and the trusted authority (TA). The EU can obtain the power consumption of each SM, but cannot get the real identity of the SM. To keep the privacy of the user, if the consumption value is over the threshold in special time span or identity of SM is required for public affairs, TA could track the identity in time. Formal proof with random oracle model and security analysis are expressed to show the security of the proposed scheme. Via the performance and network simulation, it is easy to see that our scheme is practical for a smart city.

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Funding

This research was supported by the Program for New Century Excellent Talents in Fujian Province University (Year 2018). Dr. Li is supported by the Scientific Research Fund of Hunan Provincial Education Department under Grant No. 18A178 and the Natural Science Foundation of Hunan Province, China under Grant No. 2018JJ3191. Dingbao Lin is supported by University Distinguished Young Research Talent Training Program of Fujian Province (Year 2018). Prof. Joel Rodrigues is supported by FCT/MCTES through national funds and when applicable co-funded by EU funds under the project UIDB/EEA/50008/2020; and by the Brazilian National Council for Scientific and Technological Development (CNPq) via Grant No. 309335/2017-5.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Xiamen Institute of Technology, Xiamen, 361021, China

    Fan Wu & Dingbao Lin

  2. Center for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Xiong Li

  3. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Xiong Li

  4. School of Informatics, Xiamen University, Xiamen, 361005, China

    Lili Xu

  5. Department of Mathematics, Chaudhary Charan Singh University, Meerut, 250005, India

    Saru Kumari

  6. Federal University of Piauí, Teresina, PI, Brazil

    Joel J. P. C. Rodrigues

  7. Instituto de Telecomunicações, Covilhã, Portugal

    Joel J. P. C. Rodrigues

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  1. Fan Wu
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  6. Joel J. P. C. Rodrigues
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Correspondence to Xiong Li.

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Wu, F., Li, X., Xu, L. et al. An anonymous and identity-trackable data transmission scheme for smart grid under smart city notion. Ann. Telecommun. 75, 307–317 (2020). https://doi.org/10.1007/s12243-020-00765-4

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