Editorial: Recent progress in database privacy

Authors:
Josep Domingo-Ferrer;Yücel Saygın
Affiliations:
Universitat Rovira i Virgili, Dept. of Computer Engineering and Mathematics, UNESCO Chair in Data Privacy, Av. Països Catalans 26, E-43007 Tarragona, Catalonia;Sabancı University, Faculty of Engineering and Natural Sciences, Orhanli, 34956, Tuzla, Istanbul, Turkey
Venue:
Data & Knowledge Engineering
Year:
2009

Citing 4
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Abstract

Database privacy can be conceptually described in terms of three dimensions, each of which refers to the privacy of a different subject and is pursued by a different discipline: respondent privacy, addressed by statistical disclosure control (SDC), owner privacy, addressed by privacy-preserving data mining (PPDM), and user privacy, pursued by private information retrieval (PIR). This special issue contains papers reporting recent advances in each of those three dimensions.