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ABSTRACT
Literature on information integration across databases tacitly assumes that the data in each database can be revealed to the other databases. However, there is an increasing need for sharing information across autonomous entities in such a way that no information apart from the answer to the query is revealed. We formalize the notion of minimal information sharing across private databases, and develop protocols for intersection, equijoin, intersection size, and equijoin size. We also show how new applications can be built using the proposed protocols.
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CITED BY 43
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Chris Clifton , Murat Kantarcioǧlu , AnHai Doan , Gunther Schadow , Jaideep Vaidya , Ahmed Elmagarmid , Dan Suciu, Privacy-preserving data integration and sharing, Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, June 13, 2004, Paris, France
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Arjun Dasgupta , Nan Zhang , Gautam Das , Surajit Chaudhuri, Privacy preservation of aggregates in hidden databases: why and how?, Proceedings of the 35th SIGMOD international conference on Management of data, June 29-July 02, 2009, Providence, Rhode Island, USA
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Prasenjit Mitra , Chi-Chun Pan , Peng Liu , Vijayalakshmi Atluri, Privacy-preserving semantic interoperation and access control of heterogeneous databases, Proceedings of the 2006 ACM Symposium on Information, computer and communications security, March 21-24, 2006, Taipei, Taiwan
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