A framework for consensual and online privacy preserving record linkage in real-time

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.

DOI: 10.1109/BigData.2015.7364057

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Cite this paper

@article{Muller2015AFF, title={A framework for consensual and online privacy preserving record linkage in real-time}, author={Daniel Muller and Stefan Mau and Irena Pletikosa Cvijikj}, journal={2015 IEEE International Conference on Big Data (Big Data)}, year={2015}, pages={2591-2599} }