Title :
Privacy Protection: p-Sensitive k-Anonymity Property
Author :
Truta, Traian Marius ; Vinay, Bindu
Author_Institution :
Northern Kentucky University
Abstract :
In this paper, we introduce a new privacy protection property called p-sensitive k-anonymity. The existing kanonymity 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 kanonymity property are presented, and used in developing algorithms to create masked microdata with p-sensitive k-anonymity property using generalization and suppression.
Keywords :
Biomedical imaging; Computer science; Data mining; Databases; History; Medical diagnostic imaging; Medical services; Privacy; Protection; Statistical analysis;
Conference_Titel :
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7695-2571-7
DOI :
10.1109/ICDEW.2006.116