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Secure and flexible authorized data sharing for smart grid

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Abstract

With the rapid development of IoT, smart grids have benefited people’s daily lives. Data in smart grid requires security and privacy. Fine-grained access control provides the possibility for various electricity companies and organizations to access owner data securely and flexibly for transdiscipline billing. However, it is possible for malicious electricity company employees to leak decryption keys. To protect the data security of the customers, the authorized center executes a revocation operation on the authorization of a malicious employee. However, these schemes usually cannot prevent malicious servers and revocation employees from colluding to obtain data. To overcome this problem, this work presents a secure authorized data sharing for the smart grid scenario. The data access for electricity companies in this scheme is fine-grained and revocation against server-user collusion is achieved. The security analysis shows that our solution is privacy-aware and practical for smart grid. And experiment results prove that our algorithm is efficient in authority verification.

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Funding

This study was funded by ANatural Science Foundation of Sichuan, China (2023NSFSC1400), Chengdu Science and Technology Program (2021-YF08-00151-GX).

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Authors and Affiliations

  1. School of Computer and Software Engineering, Xihua University, Chengdu, 610039, China

    Yawen Feng & Shengke Zeng

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  1. Yawen Feng
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  2. Shengke Zeng
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Yawen Feng and Shengke Zeng. The first draft of the manuscript was written by Yawen Feng and all authors commented on previous versions of the manuscript.

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Correspondence to Shengke Zeng.

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This article is part of the Topical Collection: Special Issue on 2 - Track on Security and Privacy

Guest Editor: Rongxing Lu

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Feng, Y., Zeng, S. Secure and flexible authorized data sharing for smart grid. Peer-to-Peer Netw. Appl. 17, 1208–1224 (2024). https://doi.org/10.1007/s12083-024-01649-3

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