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Blockchain data privacy protection modeling based on CP-ABE algorithm.

Authors :
Dang, Qian
Qiu, Yu
Sun, Biying
Yang, Zhengwei
Liu, Xinrui
Source :
International Journal of Emerging Electric Power Systems. Oct2023, Vol. 24 Issue 5, p681-691. 11p.
Publication Year :
2023

Abstract

With the proposal of the concept of ubiquitous power Internet of Things and the further promotion of blockchain strategy, modern information technologies such as the Internet of Things and cloud computing have been widely used in the power system. While the power grid is becoming more intelligent, it is also accompanied by the emergence of various security threats, and the power grid will face greater challenges and pressures. In this paper, aiming at the current situation of information security faced by the power grid blockchain under the cloud Internet of Things, a multi-authorization center ciphertext policy attribute encryption access control method is constructed for the power grid blockchain. It adds the function of visitor attribute update revocation, aggregates multi-dimensional data into ciphertext, and uses CP-ABE encryption to implement fine-grained access control at the dimension level. Through experimental analysis, in terms of security and functionality, this method can resist physical collision attacks and manage access rights flexibly. In terms of encryption and decryption efficiency, the encryption and decryption calculation speed of the proposed method is 6.2–15.6% higher than that of the traditional method, and the time consumption efficiency is more than 5% higher than that of other methods. It proves that this model has more advantages for open network environments such as power grid blockchain with high confidentiality requirements and large scale of users. It is of great significance to study the data security and privacy protection methods of the power grid blockchain. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1553779X
Volume :
24
Issue :
5
Database :
Academic Search Index
Journal :
International Journal of Emerging Electric Power Systems
Publication Type :
Academic Journal
Accession number :
173048047
Full Text :
https://doi.org/10.1515/ijeeps-2022-0094