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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.