Research Article
Data Privacy Protection of Industrial Blockchain
@INPROCEEDINGS{10.1007/978-3-030-69992-5_7, author={Huaqiu Long and Jun Hou and Qianmu Li and Na Ma and Jian Jiang and Lianyong Qi and Xiaolong Xu and Xuyun Zhang}, title={Data Privacy Protection of Industrial Blockchain}, proceedings={Cloud Computing. 10th EAI International Conference, CloudComp 2020, Qufu, China, December 11-12, 2020, Proceedings}, proceedings_a={CLOUDCOMP}, year={2021}, month={2}, keywords={Blockchain Data privacy protection Fault diagnosis}, doi={10.1007/978-3-030-69992-5_7} }- Huaqiu Long
Jun Hou
Qianmu Li
Na Ma
Jian Jiang
Lianyong Qi
Xiaolong Xu
Xuyun Zhang
Year: 2021
Data Privacy Protection of Industrial Blockchain
CLOUDCOMP
Springer
DOI: 10.1007/978-3-030-69992-5_7
Abstract
This paper studies the data privacy protection of industrial block chain. Aiming at the privacy leakage problem of industrial blockchain, combining symmetric encryption and homomorphic encryption, The data privacy protection method is proposed to ensure the confidentiality and privacy of industrial block chain and improve the privacy security of industrial enterprises. This paper designs common basic chain code, security service chain code and privacy protection chain code in the chain code layer, USES AES algorithm to encrypt sensitive information of industrial enterprises, and USES Paillier algorithm to encrypt maintenance cost. The chain code of privacy protection can be used for security access and fault event audit to guarantee the privacy security of industrial enterprises. In addition, in order to achieve the unity of call chain code, the call chain code is encapsulated to provide support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.
