Blockchain Privacy Data Access Control Method Based on Cloud Platform Data

被引:0
作者
Sun, Biying [1 ]
Dang, Qian [1 ]
Qiu, Yu [1 ]
Yan, Lei [1 ]
Du, Chunhui [1 ]
Liu, Xiaoqin [1 ]
机构
[1] State Grid Gansu Elect Power Co, Internet Div, Lanzhou, Peoples R China
关键词
Cloud platform; blockchain; private data; data encryption; access control; AUTHENTICATION; SCHEME;
D O I
10.14569/IJACSA.2022.0130602
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the improvement of digital informatization and openness of the smart grid, the security of all kinds of sensitive and private data in the power grid is inevitably facing severe threats and challenges. In this paper, we propose a privacy protection scheme for multidimensional data aggregation and access control in the cloud Internet of Things for smart grid. The scalable access control based on attribute encryption is used to determine the data security of power user data in the process of data information sharing in the blockchain under the large data traffic of the cloud platform, which is to achieve privacy protection and fine-grained access control for demand-side multidimensional data. By using the EBGN homomorphic encryption algorithm, the multidimensional data is encrypted, and each dimension can be decrypted separately using the corresponding private key. The multidimensional data aggregation at the gateway can aggregate the multidimensional data into cipher-text, and the control center does not need to decrypt the cipher-text data of each dimension, thereby simplifying the operation of the gateway and the control center and improving the security and privacy of the data. By encrypting the EBGN private key of each dimension through the cipher-text policy attribute encryption algorithm, the fine-grained access control at the dimension level is realized. The experimental results show that the proposed method can effectively improve the security of private data in the aspect of multidimensional data privacy protection, thus reducing the security risk of multidimensional data being illegally accessed. The research in this paper can effectively reduce the communication overhead and computational complexity, reduce the computational cost, and is suitable for data security and privacy protection of smart grid cloud Internet of Things.
引用
收藏
页码:10 / 17
页数:8
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