TKDE
2011
13 years 9 months ago
2011
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
BNCOD
2008
14 years 3 months ago
2008
Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
ICDE
2010
IEEE
14 years 6 months ago
2010
IEEE
-- Publishing person specific data while protecting privacy is an important problem. Existing algorithms that enforce the privacy principle called l-diversity are heuristic based d...
ICDT
2010
ACM
14 years 7 months ago
2010
ACM
In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
DASFAA
2009
IEEE
14 years 9 months ago
2009
IEEE
Abstract. In this paper, we propose a novel preference-constrained approach to k-anonymisation. In contrast to the existing works on kanonymisation which attempt to satisfy a minim...
KDD
2009
ACM
15 years 2 months ago
2009
ACM
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...