Privacy Preserving Linear Regression on Distributed Databases

被引：0
|
作者：
Dankar, Fida K. [1 ,2 ]
机构：
[1] Sidra Med & Res Ctr, Doha, Qatar
[2] IBM Corp, Toronto, ON, Canada
来源：
TRANSACTIONS ON DATA PRIVACY | 2015年 / 8卷 / 01期
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：3 / 28
页数：26
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