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 :
بازگشت