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22nd International Conference on Data Engineering Workshops (ICDEW'06)
PRIVATE-IYE: A Framework for Privacy Preserving Data Integration
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2571-7
Sourav S. Bhowmick, Nanyang Technological University, Singapore
Le Gruenwald, University of Oklahoma
Mizuho Iwaihara, Kyoto University, Japan
Somchai Chatvichienchai, University of Nagasaki, Japan
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.
Citation:
Sourav S. Bhowmick, Le Gruenwald, Mizuho Iwaihara, Somchai Chatvichienchai, "PRIVATE-IYE: A Framework for Privacy Preserving Data Integration," icdew, pp.91, 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
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