Research on private data security based on multiparty computation
Yating Gao, Xingjie Huang, Jinmeng Zhao, Beibei Su, Zixian Dong · 2023
In recent years, privacy data has been stolen frequently, and the security of privacy data has been concerned by society. In the big data environment, privacy is facing unprecedented challenges, and some traditional privacy protection technologies are facing failure, so how to choose a reasonable privacy protection technology is a challenging task. To solve the problem of a large amount of data theft in the application of traditional methods in the privacy data security protection, this paper proposes research on privacy data security based on multi-party computation. The hash function is used to encrypt the private data, and the data is stored in the block chain in the form of a private data encryption file. Based on the theory of multi-party computation, a secure multi-party technology protocol is designed, and the protocol is used to verify the identity of the participants in the private data transmission to realize the security protection of private data. The experimental results show that the amount of privacy data stolen by the application design method is less than that of the traditional method, which has important application value for the security protection of privacy data.