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
Link To Document