Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4951197 | Journal of Computer and System Sciences | 2017 | 25 Pages |
Abstract
The traditional data publishing methods will remove the sensitive attributes and generate the abundant records to achieve the goal of privacy protection. In the big data environment, the requirement of utilizing data (e.g., data mining) become more and more various, which is beyond the scope of the traditional method. This paper provides a cryptographic data publishing system that preserves the data integrity (i.e., the original data structure is preserved) and achieves anonymity without deletion of any attribute or utilization of redundancy. The security analysis shows that our system is secure under our proposed security model.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Tong Li, Zheli Liu, Jin Li, Chunfu Jia, Kuan-Ching Li,