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Privacy-Preserving Record Linkage

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Privacy in Statistical Databases (PSD 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6344))

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Abstract

Record linkage has a long tradition in both the statistical and the computer science literature. We survey current approaches to the record linkage problem in a privacy-aware setting and contrast these with the more traditional literature. We also identify several important open questions that pertain to private record linkage from different perspectives.

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Author information

Authors and Affiliations

  1. Department of Statistics, Machine Learning Department, and Cylab, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Rob Hall & Stephen E. Fienberg

Authors
  1. Rob Hall
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  2. Stephen E. Fienberg
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Editors and Affiliations

  1. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, UNESCO Chair in Data Privacy, Av. Països Catalans 26, E-43007, Tarragona, Catalonia

    Josep Domingo-Ferrer

  2. Department of Informatics, Ionian University, Plateia Tsirigoti 7, 49100, Kerkyra, Greece

    Emmanouil Magkos

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Hall, R., Fienberg, S.E. (2010). Privacy-Preserving Record Linkage. In: Domingo-Ferrer, J., Magkos, E. (eds) Privacy in Statistical Databases. PSD 2010. Lecture Notes in Computer Science, vol 6344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15838-4_24

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  • DOI: https://doi.org/10.1007/978-3-642-15838-4_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15837-7

  • Online ISBN: 978-3-642-15838-4

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