Privacy-preserving data publishing for horizontally partitioned databases

Authors:
Pawel Jurczyk;Li Xiong
Affiliations:
Emory University, Atlanta, GA, USA;Emory University, Atlanta, GA, USA
Venue:
Proceedings of the 17th ACM conference on Information and knowledge management
Year:
2008

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Abstract

There is an increasing need for sharing data repositories containing personal information across multiple distributed, possibly untrusted, and private databases. Such data sharing is subject to constraints imposed by privacy of data subjects as well as data confidentiality of institutions or data providers. We developed a set of decentralized protocols that enable data sharing for horizontally partitioned databases given these constraints. Our approach includes a distributed anonymization protocol that allows independent data providers to build a virtual anonymized database, and a distributed querying protocol that allows clients to query the virtual database.