Anti-trojan security module for biometric authentication tasks

When implementing biometric authentication systems, several problems related to security should be faced. These problems are mostly derived from the high sensibility of biometric data, and the feeling of governmental control when central databases are used. This paper introduces the work being done by the authors, to provide new means for overcoming them. This new solutions are focused on developing secure distributed systems, where the user is the one that handles his/her own biometric template. Although this could be done with state of the art technology, like smart cards, misuse of this technology, as well as lack of relines in Point of Service Terminals, demand improvements in identification tokens. These tokens will be based on smart card basic technology, improved with the ability of performing biometric processes internally, and with enhanced security mechanisms.

[1]  Jr. J.P. Campbell,et al.  Speaker recognition: a tutorial , 1997, Proc. IEEE.

[2]  Ana González-Marcos,et al.  Biometric Identification through Hand Geometry Measurements , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  R. Sanchez-Reillo,et al.  Access control system with hand geometry verification and smart cards , 1999, Proceedings IEEE 33rd Annual 1999 International Carnahan Conference on Security Technology (Cat. No.99CH36303).

[4]  Dario Maio,et al.  Direct Gray-Scale Minutiae Detection In Fingerprints , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  R. Sanchez-Reillo,et al.  Securing information and operations in a smart card through biometrics , 2000, Proceedings IEEE 34th Annual 2000 International Carnahan Conference on Security Technology (Cat. No.00CH37083).

[6]  염흥렬,et al.  [서평]「Applied Cryptography」 , 1997 .

[7]  Sharath Pankanti,et al.  An identity-authentication system using fingerprints , 1997, Proc. IEEE.

[8]  Douglas A. Reynolds,et al.  Robust text-independent speaker identification using Gaussian mixture speaker models , 1995, IEEE Trans. Speech Audio Process..

[9]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..