Joining Privately on Outsourced Data

In an outsourced database framework, clients place data management with specialized service providers. Of essential concern in such frameworks is data privacy. Potential clients are reluctant to outsource sensitive data to a foreign party without strong privacy assurances beyond policy "Fine-prints". In this paper, the authors introduce a mechanism for executing general binary JOIN operations (for predicates that satisfy certain properties) in an outsourced relational database framework with full computational privacy and low overheads - a first, to the best of their knowledge.

Provided by: Stony Brook University Topic: CXO Date Added: Jul 2010 Format: PDF

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