k-Anonymity in the Presence of External Databases

Sacharidis, D; Mouratidis, K; Papadias, D

dc.contributor.author	Sacharidis, D	en
dc.contributor.author	Mouratidis, K	en
dc.contributor.author	Papadias, D	en
dc.date.accessioned	2014-03-01T01:59:19Z
dc.date.available	2014-03-01T01:59:19Z
dc.date.issued	2010	en
dc.identifier.uri	http://hdl.handle.net/123456789/28916
dc.subject	Experimental Evaluation	en
dc.subject	Generic Algorithm	en
dc.subject	Information Loss	en
dc.title	k-Anonymity in the Presence of External Databases	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TKDE.2009.120	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TKDE.2009.120	en
heal.publicationDate	2010	en
heal.abstract	The concept of k-anonymity has received considerable attention due to the need of several organizations to release microdata without revealing the identity of individuals. Although all previous k-anonymity techniques assume the existence of a public database (PD) that can be used to breach privacy, none utilizes PD during the anonymization process. Specifically, existing generalization algorithms create anonymous tables using only	en
heal.journalName	IEEE Transactions on Knowledge and Data Engineering	en
dc.identifier.doi	10.1109/TKDE.2009.120	en