Toward Private Joins on Outsourced Data

Source: Stony Brook University

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In an outsourced database framework, clients place data management responsibilities 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 computational privacy and low overhead - a first, to the best of their knowledge.
Format:PDF Size:430.20
Date:Jun 2011