A Framework for Consensual and Online Privacy Preserving Record Linkage in Real-Time

被引:0
作者
Mueller, Daniel [1 ]
Mau, Stefan [1 ]
Cvijikj, Irena Pletikosa [1 ]
机构
[1] ETH, Dept Management Technol & Econ, Zurich, Switzerland
来源
PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA | 2015年
关键词
privacy preserving record linkage; consensual; online data integration; real-time; DATA QUALITY;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the face of heterogeneity, privacy laws and the scale of various data sources, Privacy Preserving Record Linkage is an increasingly relevant topic for organizations that intent to collaborate on a data level. In addition, new collaboration scenarios require an exchange that would take place online and in real-time. To address these needs, in this paper we present a framework for consensual and online privacy preserving record linkage in real-time. The envisioned framework builds upon the proposition that an individual should agree a priori to reveal his identity to an external organization. We discuss the security features necessary for avoiding potential attacks and misuse of the transmitted data, and evaluate our approach through a usage scenario and performance measurements to demonstrate its applicability in real-life business scenarios.
引用
收藏
页码:2591 / 2599
页数:9
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