Toward Private Joins on Outsourced Data
Source: Stony Brook University
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.