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 :
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