• 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