Spiral Cube for Biometric Template Protection

In this paper we present a new approach for biometric template protection. Our objective is to build a preliminary non-invertible transformation approach, based on random projection, which meets the requirements of revocability, diversity, security and performance. We use the chaotic behavior of logistic map to build the projection vectors using a new technique that makes the construction of the projection matrix depend on the biometric template and its identity. Experimental results conducted on several face databases show the ability of our technique to preserve and increase the performance of protected systems. Moreover, we demonstrate that the security of our approach is sufficiently robust to possible attacks.

[1]  Dimitris Achlioptas,et al.  Database-friendly random projections , 2001, PODS.

[2]  Andrew Beng Jin Teoh,et al.  2Ns Discretisation of BioPhasor in Cancellable Biometrics , 2007, ICB.

[3]  Ying Tan,et al.  Laplacian smoothing transform for face recognition , 2010, Science China Information Sciences.

[4]  Christoph Busch,et al.  Dynamic random projection for biometric template protection , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[5]  Suya You,et al.  A multi-view face recognition system , 1997, Journal of Computer Science and Technology.

[6]  Yongjin Wang,et al.  Face Based Biometric Authentication with Changeable and Privacy Preservable Templates , 2007, 2007 Biometrics Symposium.

[7]  Thomas Beth,et al.  Timely Authentication in Distributed Systems , 1992, ESORICS.

[8]  A. Adler,et al.  Images can be regenerated from quantized biometric match score data , 2004, Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513).

[9]  Anil K. Jain,et al.  Biometric Template Security , 2008, EURASIP J. Adv. Signal Process..

[10]  Paul Syverson,et al.  A Taxonomy of Replay Attacks , 1994 .

[11]  Andy Adler,et al.  Vulnerabilities in Biometric Encryption Systems , 2005, AVBPA.

[12]  Josef Kittler,et al.  Audio- and Video-Based Biometric Person Authentication, 5th International Conference, AVBPA 2005, Hilton Rye Town, NY, USA, July 20-22, 2005, Proceedings , 2005, AVBPA.

[13]  Stan Z. Li,et al.  Advances in Biometrics, International Conference, ICB 2007, Seoul, Korea, August 27-29, 2007, Proceedings , 2007, ICB.

[14]  Ying Tan,et al.  Discriminant analysis via support vectors , 2010, Neurocomputing.

[15]  George Bebis,et al.  Face recognition experiments with random projection , 2005, SPIE Defense + Commercial Sensing.

[16]  Nalini K. Ratha,et al.  Biometric perils and patches , 2002, Pattern Recognit..

[17]  Nalini K. Ratha,et al.  An Analysis of Minutiae Matching Strength , 2001, AVBPA.

[18]  Christoph Busch,et al.  Biometric template protection , 2009, Datenschutz und Datensicherheit - DuD.

[19]  Nalini K. Ratha,et al.  Enhancing security and privacy in biometrics-based authentication systems , 2001, IBM Syst. J..

[20]  Anil K. Jain,et al.  Biometric template transformation: a security analysis , 2010, Electronic Imaging.