Privacy protection: p-sensitive k-anonymity property (2006)
| Venue: | In Proc. of 22nd IEEE Int’l Conf. on Data Engineering Workshops |
| Citations: | 25 - 9 self |
BibTeX
@INPROCEEDINGS{Truta06privacyprotection:,
author = {Traian Marius Truta and Bindu Vinay},
title = {Privacy protection: p-sensitive k-anonymity property},
booktitle = {In Proc. of 22nd IEEE Int’l Conf. on Data Engineering Workshops},
year = {2006},
pages = {94},
publisher = {IEEE Computer Society}
}
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Abstract
In this paper, we introduce a new privacy protection property called p-sensitive k-anonymity. The existing k-anonymity property protects against identity disclosure, but it fails to protect against attribute disclosure. The new introduced privacy model avoids this shortcoming. Two necessary conditions to achieve p-sensitive k-anonymity property are presented, and used in developing algorithms to create masked microdata with p-sensitive k-anonymity property using generalization and suppression. 1.
