Abstract: Blockchain technology has the advantages of decentralization, de-trust, and non-tampering, which breaks through the limitations of traditional centralized technology, so it has gradually become the key technology of power data security storage and privacy protection. In the existing smart grid framework, the grid operator is a centralized key distribution organization, which is responsible for sending all the secret credentials, so it is easy to have a single point of failure, resulting in a large number of personal information losses. To solve the problems of inflexible access control in smart grid data-sharing framework and considering the limitation of multi-party cooperation among grid operators and efficiency, an attribute-based access control scheme supporting privacy preservation in smart grid is constructed in this paper. A fine-grained access control scheme supporting privacy protection is designed and extended to the smart grid system, which enables the system to achieve fine-grained access control of power data. A decryption test algorithm is added before the decryption algorithm. Finally, through performance analysis and comparison with other schemes, it is verified that the performance of this system is 7% higher than the traditional method, and the storage cost is 9.5% lower, which reflects the superiority of the system. Full optimization of the access policy is achieved. It is proved that the scheme is more efficient to implement the coordination and cooperation of multiple authorized agencies in the system initialization.

Yu Qiu, Biying Sun, Qian Dang, Chunhui Du and Na Li, “Fine-grained Access Control Method for Blockchain Data Sharing based on Cloud Platform Big Data” International Journal of Advanced Computer Science and Applications(IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131004

@article{Qiu2022,
title = {Fine-grained Access Control Method for Blockchain Data Sharing based on Cloud Platform Big Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131004},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131004},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {10},
author = {Yu Qiu and Biying Sun and Qian Dang and Chunhui Du and Na Li}
}