Private record matching using Secure multiparty computation protocol
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 1
Abstract
Real-world entities are not always represented by the same set of features in different data sets. Therefore, matching records of the same real-world entity distributed across these data sets is a challenging task. If the data sets contain private information, the problem becomes even more difficult. Existing solutions to this problem generally follow two approaches: sanitization techniques and cryptographic techniques. A hybrid technique that combines these two approaches and enables users to trade-off between privacy, accuracy and cost. The project’s main contribution is the use of a blocking phase that operates over sanitized data to filter out in a privacy-preserving manner pairs of records that do not satisfy the matching condition. This method incurs considerably lower costs than existing cryptographic techniques and yields significantly more accurate matching results compared to existing sanitization techniques, even when privacy requirements are high.
Authors and Affiliations
S. Viswanandhne, M. D. Krithiga, P. Nandhini
Keywords
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- EP ID EP23071
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