• DocumentCode
    254357
  • Title

    Shattering the Glass Maze

  • Author

    Hermans, J. ; Peeters, R. ; Mennink, B.

  • Author_Institution
    ESAT/COSIC & iMinds, KU Leuven, Leuven, Belgium
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Template protection plays a crucial role in protecting the privacy of biometric data, by providing irreversibility and unlinkability. The Glass Maze, as presented by Trugenberger at BIOSIG 2011, is a fingerprint key binding mechanism that is claimed to provide template protection. With the correct fingerprint, the key that is entangled with the fingerprint data can be retrieved. The template protection of the Glass Maze is based on the convergence properties of a Hopfield model, a neural network. We however show how to revert the Glass Maze to recover the key, without requiring a correct fingerprint. This completely breaks the irreversibility property, and hence also unlinkability.
  • Keywords
    Hopfield neural nets; data privacy; fingerprint identification; Glass Maze; Hopfield model; biometric data; fingerprint key binding mechanism; neural network; template protection; Bioinformatics; Biological neural networks; Convergence; Glass; Simulated annealing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics Special Interest Group (BIOSIG), 2014 International Conference of the
  • Conference_Location
    Darmstadt
  • Print_ISBN
    978-3-88579-624-4
  • Type

    conf

  • Filename
    7029412