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Volume 8 Issue 1

Privacy Preserving Linear Regression on Distributed Databases

Fida K. Dankar^(a),(b),(*)

Transactions on Data Privacy 8:1 (2015) 3 - 28

Abstract, PDF

(a) Sidra Medical and Research Center, Doha, Qatar.

(b) IBM, Toronto, Canada.

e-mail:fdankar @sidra.org

Abstract

Studies that combine data from multiple sources can tremendously improve the outcome of the statistical analysis. However, combining data from these various sources for analysis poses privacy risks. A number of protocols have been proposed in the literature to address the privacy concerns; however they do not fully deliver on either privacy or complexity. In this paper, we present a (theoretical) privacy preserving linear regression model for the analysis of data owned by several sources. The protocol uses a semi-trusted third party and delivers on privacy and complexity.

^* Corresponding author.

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