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De-identification of metering data for smart grid personal security in intelligent CCTV-based P2P cloud computing environment

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Abstract

Various security threats exist in the smart grid environment due to the fact that information and communication technology are grafted onto an existing power grid. In particular, smart metering data exposes a variety of information such as users’ life patterns and devices in use, and thereby serious infringement on personal information may occur. Therefore, we are in a situation where a de-identification algorithm suitable for metering data is required. Hence, this paper proposes a new de-identification method for metering data. The proposed method processes time information and numerical information as de-identification data, respectively, so that pattern information cannot be analyzed by the data. In addition, such a method has an advantage that a query such as a direct range search and aggregation processing in a database can be performed even in a de-identified state for statistical processing and availability.

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Acknowledgements

This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT)[2017-0-00207, Development of Cloud-based Intelligent Video Security Incubating Platform] and this research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(NRF-2016R1D1A3A03918513).

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Authors and Affiliations

  1. Department of Computer Education, Teachers College, Jeju National University, 61 Iljudong-ro, Jeju-si, 63294, South Korea

    Donghyeok Lee & Namje Park

  2. Information Security Research Division, Electronics and Telecommunications Research Institute, 218 Gajeong-Ro, Yuseong-Gu, Daejeon, 34129, South Korea

    Geonwoo Kim & Seunghun Jin

Authors
  1. Donghyeok Lee
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  2. Namje Park
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  3. Geonwoo Kim
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  4. Seunghun Jin
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Corresponding author

Correspondence to Namje Park.

Additional information

This article is part of the Topical Collection: Special Issue on Convergence P2P Cloud Computing

Guest Editor: Jung-Soo Han

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Lee, D., Park, N., Kim, G. et al. De-identification of metering data for smart grid personal security in intelligent CCTV-based P2P cloud computing environment. Peer-to-Peer Netw. Appl. 11, 1299–1308 (2018). https://doi.org/10.1007/s12083-018-0637-1

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