An Efficient Role-based Privacy Data Dynamic Desensitization Method
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DOI: 10.25236/icemit.2019.053
Author(s)
Chen Jianfei, Tan Hu, Yu Hao, Wang Wenting, Zhang Hao
Corresponding Author
Chen Jianfei
Abstract
Privacy protection is very important in traditional fields such as finance and medical treatment, and it has been paid more and more attention in e-commerce and social network. Privacy protection technology needs to ensure both data use and privacy data security. In order to make the protected data still worth reading, previous scholars used data desensitization to maintain data integrity. In real life, multiple roles can be set for application systems, and different system access rights can be set for different roles. The role-based privacy data dynamic desensitization method and system proposed in this paper is designed to provide users with desensitized and protected security data sets while maintaining plaintext real data in the production database.
Keywords
Privacy protection, Data integrity, Data dynamic desensitization