PRIVATE-IYE: A Framework for Privacy Preserving Data Integration

Authors:
Sourav S. Bhowmick;Le Gruenwald;Mizuho Iwaihara;Somchai Chatvichienchai
Affiliations:
Nanyang Technological University, Singapore;University of Oklahoma;Kyoto University, Japan;University of Nagasaki, Japan
Venue:
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Year:
2006

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Abstract

Data integration has been a long standing challenge to the database and data mining communities. This need has become critical in numerous contexts, including building e-commerce market places, sharing data from scientific research, and improving homeland security. However, these important activities are hampered by legitimate and widespread concerns of data privacy. It is necessary to develop solutions that enable integration of data, especially in the domains of national priorities, while effective privacy control of the data. In this paper, we present an architecture and key research issues for building such a privacy preserving data integration system called PRIVATE-IYE.