Abstract
With the continuous expansion of the scale of smart grid, a large amount of data is generated during the operation of smart grid. These massive electricity data can be analyzed in detail by using big data technology to promote the construction and development of smart grid. In addition to the massive data processing generated in smart grid, one of the key factors restricting the development of smart grid is the issue of privacy leakage. In order to solve the problem of user identity information and user electricity data privacy in smart grid, we propose a conditional anonymous group blind signature scheme in smart grid, and use homomorphic tag mechanism to verify the integrity of electricity data. From the safety analysis, the results show that our scheme is safe and effective.
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Li, X., Sun, X., Li, F. (2021). A Group Blind Signature Scheme for Privacy Protection of Power Big Data in Smart Grid. In: Tan, Y., Shi, Y., Zomaya, A., Yan, H., Cai, J. (eds) Data Mining and Big Data. DMBD 2021. Communications in Computer and Information Science, vol 1453. Springer, Singapore. https://doi.org/10.1007/978-981-16-7476-1_3
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DOI: https://doi.org/10.1007/978-981-16-7476-1_3
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