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Physical and Data-Link Security Techniques for Future Communication Systems pp 163–172Cite as

Subspace Fuzzy Vault

Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 358)

Abstract

Fuzzy vault is a scheme providing secure authentication based on fuzzy matching of sets. A major application is the use of biometric features for authentication, whereby unencrypted storage of these features is not an option because of security concerns. While there is still ongoing research around the practical implementation of such schemes, we propose and analyze here an alternative construction based on subspace codes. This offers some advantages in terms of security, as an eventual discovery of the key does not provide an obvious access to the features. Crucial for an efficient implementation are the computational complexity and the choice of good code parameters. The parameters depend on the particular application, e.g. the biometric feature to be stored and the rate one wants to allow for false acceptance. The developed theory is closely linked to constructions of subspace codes studied in the area of random network coding.

Keywords

  • Spread Code
  • Biometric Feature
  • Brute Force Attack
  • Random Network Code
  • Irreducible Monic Polynomial

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgments

Kyle Marshall and Joachim Rosenthal were supported by Swiss National Science Foundation Grant no. 149716. Anna-Lena Trautmann was supported by Swiss National Science Foundation Fellowship no. 147304. The authors would like to thank Marco Bianchi and Natalia Silberstein for fruitful discussions regarding this work.

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Authors and Affiliations

  1. Institute of Mathematics, University of Zurich, Zurich, Switzerland

    Kyle Marshall, Davide Schipani & Joachim Rosenthal

  2. Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Australia

    Anna-Lena Trautmann

  3. Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia

    Anna-Lena Trautmann

Authors
  1. Kyle Marshall
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  2. Davide Schipani
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  3. Anna-Lena Trautmann
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  4. Joachim Rosenthal
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Corresponding author

Correspondence to Kyle Marshall .

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Editors and Affiliations

  1. Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy

    Marco Baldi

  2. Department of Information Engineering, University of Padova, Padova, Italy

    Stefano Tomasin

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Marshall, K., Schipani, D., Trautmann, AL., Rosenthal, J. (2016). Subspace Fuzzy Vault. In: Baldi, M., Tomasin, S. (eds) Physical and Data-Link Security Techniques for Future Communication Systems. Lecture Notes in Electrical Engineering, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-319-23609-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-23609-4_10

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  • Publisher Name: Springer, Cham

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