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A Privacy-Preserving Searchable Encryption Scheme for Data Protection in Smart Grid

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Data Science and Information Security (IAIC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2059))

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Abstract

As smart grids continue to evolve at a rapid pace, huge amounts of power data have been collected by various devices in different locations. These enormous power data are of significant research and application value in machine learning. In the meanwhile, the privacy of training data is also becoming urgent to be addressed in the smart grid. Searchable encryption (SE) is an essential solution for protecting data privacy, which can achieve retrieval of ciphertext. In this paper, we present a blockchain-based searchable encryption scheme with fine-grained access control in smart grids. This scheme is designed to enable secure search and access to power data. Firstly, we track data uploads and searches using blockchain technology, which grants data access with transparency and traceability. In addition, in our scheme, the blockchain network stores the encrypted index, which protects the index from malicious tampering. Secondly, our proposed scheme can achieve retrieval of ciphertext while supporting fine-grained access control. Furthermore, Our scheme preserves the privacy of data. Users’ attribute information and keyword information are protected in the data access process. Finally, there is an analysis of the security and advantages of our scheme. Experimental results and comparisons with other schemes show that our scheme is both cost-effective and practice-oriented.

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Acknowledgement

This work was supported by the NSFC (GrantNos.72293583, 62271070,61962009), and the Project (GrantNo.JCKY2021208B036).

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Authors and Affiliations

  1. State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China

    Xun Zhang, Hong Zhao & Lei Di

  2. Information Security Center, State Key Laboratory of Networking and Switching Technology, Bei**g University of Posts and Telecommunications, Bei**g, 100876, China

    Zeng-Hui Yang

Authors
  1. Xun Zhang
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  2. Hong Zhao
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  3. Lei Di
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  4. Zeng-Hui Yang
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Corresponding author

Correspondence to Zeng-Hui Yang .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, Hubei, China

    Hai **

  2. Chinese Academy of Science, Shenzhen, China

    Yi Pan

  3. Nan**g University of Science and Technology, Nan**g, China

    Jianfeng Lu

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Zhang, X., Zhao, H., Di, L., Yang, ZH. (2024). A Privacy-Preserving Searchable Encryption Scheme for Data Protection in Smart Grid. In: **, H., Pan, Y., Lu, J. (eds) Data Science and Information Security. IAIC 2023. Communications in Computer and Information Science, vol 2059. Springer, Singapore. https://doi.org/10.1007/978-981-97-1280-9_11

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  • DOI: https://doi.org/10.1007/978-981-97-1280-9_11

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  • Online ISBN: 978-981-97-1280-9

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