DocumentCode
3717432
Title
A framework for consensual and online privacy preserving record linkage in real-time
Author
Daniel M?ller;Stefan Mau;Irena Pletikosa Cvijikj
Author_Institution
Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
fYear
2015
Firstpage
2591
Lastpage
2599
Abstract
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.
Keywords
"Organizations","Data privacy","Real-time systems","Couplings","Data integration","Databases"
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/BigData.2015.7364057
Filename
7364057
Link To Document