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Secure Computation for Privacy Preserving Biometric Data Retrieval and Authentication

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Intelligence and Security Informatics (EuroIsI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5376))

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Abstract

The goal of this research is to develop provable secure computation techniques for two biometric security tasks; namely biometric data retrieval and authentication. We first present models for privacy and security that delineate the conditions under which biometric data disclosure are allowed, the conditions under which the protocol for data exchange should be provable secure, and the conditions under which the computation should be provable private. We then present a novel technique based on singular value decomposition and homomorphic encryption to achieve secure computation for biometric data retrieval. Finally we show a proof-of-concept implementation of the proposed techniques to realize a privacy preserving speaker verification system.

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Author information

Authors and Affiliations

  1. Queens College, The City University of New York, 65-30, Kissena Blvd., Flushing, NY 11367, USA

    Bon Sy

  2. Graduate School and University Center, The City University of New York, 365 Fifth Ave., New York, NY 10016, USA

    Bon Sy

Authors
  1. Bon Sy
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Editor information

Editors and Affiliations

  1. Computer Science Department, Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Daniel Ortiz-Arroyo

  2. Department of Computer Science and Engineering, Aalborg University Esbjerg, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Henrik Legind Larsen

  3. Department of MIS, University of Arizona, 85721, Tucson, AZ, USA

    Daniel Dajun Zeng

  4. Computer Science Department, Aalborg University, DK-6700, Esbjerg, Denmark

    David Hicks

  5. European Commission - European Commission - Joint Research Centre (JRC) IPSC - SeS Unit T.P., Ispra, Italy

    Gerhard Wagner

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© 2008 Springer-Verlag Berlin Heidelberg

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Sy, B. (2008). Secure Computation for Privacy Preserving Biometric Data Retrieval and Authentication. In: Ortiz-Arroyo, D., Larsen, H.L., Zeng, D.D., Hicks, D., Wagner, G. (eds) Intelligence and Security Informatics. EuroIsI 2008. Lecture Notes in Computer Science, vol 5376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89900-6_16

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  • DOI: https://doi.org/10.1007/978-3-540-89900-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89899-3

  • Online ISBN: 978-3-540-89900-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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