Referenced Items are not available for this document.
Privacy preserving data publishing is an important direction in privacy preserving data mining which focuses on ensuring privacy of individual data when it is released for mining. SW-SDF personalized privacy preservation uses two flags SW & SDF to improve data utilization and privacy. This method also gives more privacy to record values which are actually sensitive as compared to algorithms where privacy is applied for all the records. In SW-SDF system SW is manually applied which has been improved by using statistical inference and thereby improving the system. Experimental results show that the overhead of implementing this approach is minimal and can be incorporated.
Published in:
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
Date of Conference: 6-8 Dec. 2012
- Page(s):
- 816 - 821
- Print ISBN:
- 978-1-4673-2922-4
- INSPEC Accession Number:
- 13291373
- Conference Location :
- Solan
- Digital Object Identifier :
- 10.1109/PDGC.2012.6449928
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
