Abstract
Research on the privacy protection of smart grids mostly stays in fixed electricity prices or electricity aggregation. Aiming at the problem of real-time pricing and privacy data protection of smart grid, this paper proposes a privacy-preserving electricity consumption statistics and billing scheme in smart grid (PPCSB). In this scheme, the techniques of additive homomorphic encryption and mixed multiplicative homomorphic encryption are used to ensure the security of the data communication; Batch verification is used to improve the efficiency of signature verification. In addition, the proposed scheme does not require a trusted third party in order to improve the usability of the scheme. Through performance analysis of the scheme, it shows that the scheme has better security and better functions.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China grant (U1836205), Major Scientific and Technological Special Project of Guizhou Province (20183001), Open Foundation of Guizhou Provincial Key Laboratory of Public Big Data (2018BDKFJJ014), Open Foundation of Guizhou Provincial Key Laboratory of Public Big Data (2018BDKFJJ019) and Open Foundation of Guizhou Provincial Key Laboratory of Public Big Data (2018BDKFJJ022).
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Li, C., Chen, Y., Yang, Y., Li, C., Zeng, Y. (2019). PPCSB: A Privacy-Preserving Electricity Consumption Statistics and Billing Scheme in Smart Grid. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11635. Springer, Cham. https://doi.org/10.1007/978-3-030-24268-8_49
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DOI: https://doi.org/10.1007/978-3-030-24268-8_49
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