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Security Efficiency Analysis of a Biometric Fuzzy Extractor for Iris Templates

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Computational Intelligence in Security for Information Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 63))

Abstract

A Biometric fuzzy extractor scheme for iris templates was recently presented in [3]. This fuzzy extractor binds a cryptographic key with the iris template of a user, allowing to recover such cryptographic key by authenticating the user by means of a new iris template from her. In this work, an analysis of the security efficiency of this fuzzy extractor is carried out by means of a study about the behavior of the scheme with cryptographic keys of different bitlengths: 64, 128, 192, and 256. The different sizes of the keys permit to analyze the variability of the intra- and inter-user in the iris templates.

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Author information

Authors and Affiliations

  1. Department of Information Processing and Coding, Applied Physics Institute, CSIC, C/ Serrano 144, 28006, Madrid, Spain

    F. Hernández Álvarez & L. Hernández Encinas

Authors
  1. F. Hernández Álvarez
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  2. L. Hernández Encinas
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Editors and Affiliations

  1. Grupo de Inteligencia, Computacional Aplicada, Área de Lenguajes y, Sistemas Informáticos, Escuela Politécnica Superior, Universidad de Burgos , Calle Francisco de Vitoria S/N, Edifico C, 09006, Burgos, Spain

    Álvaro Herrero

  2. Dept. of Biophysical and Electronic Engineering, Genova University , Via Opera Pia 11a, 16145, Genova, Italy

    Paolo Gastaldo

  3. Dept. of Biophysical and Electronic Engineering, Genova University , Via Opera Pia 11a, 16145, Genova, Italy

    Rodolfo Zunino

  4. Grupo de Inteligencia, Computacional Aplicada, Área de Lenguajes y Sistemas Informáticos, Escuela Politénica Superior, Universidad de Burgos , Calle Francisco de Vitoria S/N, Edifico C, 09006, Burgos, Spain

    Emilio Corchado

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© 2009 Springer-Verlag Berlin Heidelberg

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Álvarez, F.H., Encinas, L.H. (2009). Security Efficiency Analysis of a Biometric Fuzzy Extractor for Iris Templates. In: Herrero, Á., Gastaldo, P., Zunino, R., Corchado, E. (eds) Computational Intelligence in Security for Information Systems. Advances in Intelligent and Soft Computing, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04091-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-04091-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04090-0

  • Online ISBN: 978-3-642-04091-7

  • eBook Packages: EngineeringEngineering (R0)

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