Abstract
We propose an approach to achieving different K -partition for preserving privacy by using the multi-constraint anonymous parameter design method based on the attribute significance of rough set, in order to reduce the imbalance phenomenon between the privacy protection and data availability caused by adopting the same anonymous intensity. In this approach, taking into account the significance of quasi-identifier attributes, we carry out the dimension division automatically and obtain multi-constraint anonymous parameters. After that an anonymous algorithm is executed on the separate partition. Experimental results show that the proposed method can obtain a better balance between the privacy protection degree and data availability.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
