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Efficient Privacy-Enhancing Techniques for Medical Databases

  • Conference paper
Biomedical Engineering Systems and Technologies (BIOSTEC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 25))

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Abstract

In this paper, we introduce an alternative for using linkable unique health identifiers: locally generated system-wide unique digital pseudonyms. The presented techniques are based on a novel technique called collision-free number generation which is discussed in the introductory part of the article. Afterwards, attention is payed onto two specific variants of collision-free number generation: one based on the RSA-Problem and the other one based on the Elliptic Curve Discrete Logarithm Problem. Finally, two applications are sketched: centralized medical records and anonymous medical databases.

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Author information

Authors and Affiliations

  1. Institute of Applied Informatics · System Security Group, Klagenfurt University, Austria

    Peter Schartner & Martin Schaffer

Authors
  1. Peter Schartner
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  2. Martin Schaffer
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Editor information

Editors and Affiliations

  1. IST - Instituto Superior Técnico, Instituto de Telecomunicaçöes, Av. Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Polytechnic Institute of Setúbal – INSTICC, Departament of Systems and Informatics, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  3. Institute of Telecommunications, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal

    Hugo Gamboa

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© 2008 Springer-Verlag Berlin Heidelberg

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Schartner, P., Schaffer, M. (2008). Efficient Privacy-Enhancing Techniques for Medical Databases. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2008. Communications in Computer and Information Science, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92219-3_35

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  • DOI: https://doi.org/10.1007/978-3-540-92219-3_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92218-6

  • Online ISBN: 978-3-540-92219-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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