Privacy preserving computation of scalar product and sign of scalar product Online publication date: Tue, 05-Mar-2019
by Subrata Bose
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 9, No. 1/2, 2019
Abstract: Scalar product is repeatedly used in a large family of applications. It is a useful building block of many scientific and business applications. Secure scalar product computation is widely used in many privacy-preserving computation domains. In this work, we have proposed privacy preserving protocols for computing scalar product or only its sign. These protocols work on two basic principles - random data perturbation and algebraic methods, and thus avoid standard encryption/decryption overheads. We have designed the protocols to get sign of the scalar product, which can act as a basic building block in privacy preserving database queries over distributed databases and many other applications. We have developed two sets of protocols for the two-party computation with and without using an untrusted third-party. Experimental results on generated random datasets show that the proposed protocols indeed involve low communication overhead.
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