Risk evaluation for spoofing against a sensor supplied with liveness detection.

The aim of this paper is to evaluate the risks associated with the use of fake fingerprints on a livescan supplied with a method of liveness detection. The method is based on optical properties of the skin. The sensor uses several polarizations and illuminations to capture the information of the different layers of the human skin. These experiments also allow for the determination under which conditions the system is deceived and if there is an influence respectively of the nature of the fake, the mould used for the production or the individuals involved in the attack. These experiments showed that current multispectral sensors can be deceived by the use of fake fingerprints created with or without the cooperation of the subject. Fakes created from direct casts perform better than those produced by fakes created from indirect casts. The results showed that the success of the attack is influenced by two main factors. The first is the quality of the fakes, and by extension the quality of the original fingerprint. The second is the combination of the general patterns involved in the attacks since an appropriate combination can strongly increase the rates of successful attacks.

[1]  Hakil Kim,et al.  A Study on Performance Evaluation of the Liveness Detection for Various Fingerprint Sensor Modules , 2003, KES.

[2]  Satoshi Hoshino,et al.  Impact of artificial "gummy" fingers on fingerprint systems , 2002, IS&T/SPIE Electronic Imaging.

[3]  Wei-Yun Yau,et al.  Fake Finger Detection by Finger Color Change Analysis , 2007, ICB.

[4]  Xinjian Chen,et al.  Fake Finger Detection Based on Thin-Plate Spline Distortion Model , 2007, ICB.

[5]  Stephanie Schuckers,et al.  Time-series detection of perspiration as a liveness test in fingerprint devices , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[6]  A. Kumar,et al.  A New Method for Fingerprint Antispoofing using Pulse Oxiometry , 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.

[7]  Ton van der Putte,et al.  Biometrical Fingerprint Recognition: Don't Get Your Fingers Burned , 2001, CARDIS.

[8]  Chris Roberts,et al.  Biometric attack vectors and defences , 2007, Comput. Secur..

[9]  Marie Sandström.  Liveness Detection in Fingerprint Recognition Systems , 2004 .

[10]  Adrian D. C. Chan,et al.  Person Identification using Electrocardiograms , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[11]  Dario Maio,et al.  Fake Fingerprint Detection by Odor Analysis , 2006, ICB.

[12]  Stephanie Schuckers,et al.  Spoofing and Anti-Spoofing Measures , 2002, Inf. Secur. Tech. Rep..

[13]  Stephanie Schuckers,et al.  Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners , 2003, Pattern Recognit..

[14]  Dario Maio,et al.  Fake finger detection by skin distortion analysis , 2006, IEEE Transactions on Information Forensics and Security.

[15]  Hakil Kim,et al.  Liveness Detection of Fingerprint Based on Band-Selective Fourier Spectrum , 2007, ICISC.

[16]  Koichi Sasakawa,et al.  Fingerprint Authentication Device Based on Optical Characteristics Inside a Finger , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[17]  Teemupekka Virtanen,et al.  Fooling Fingerprint Scanners - Biometric Vulnerabilities of the Precise Biometrics 100 SC Scanner , 2003 .

[18]  Martin Drahanský.  Experiments with Skin Resistance and Temperature for Liveness Detection , 2008, 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[19]  Sverre Grimnes,et al.  Utilizing Characteristic Electrical Properties of the Epidermal Skin Layers to Detect Fake Fingers in Biometric Fingerprint Systems—A Pilot Study , 2007, IEEE Transactions on Biomedical Engineering.

[20]  B. Miller,et al.  Vital signs of identity [biometrics] , 1994, IEEE Spectrum.

[21]  Stephanie Schuckers,et al.  Integrating a wavelet based perspiration liveness check with fingerprint recognition , 2009, Pattern Recognit..

[22]  Stephanie Schuckers,et al.  Liveness Detection for Fingerprint Scanners Based on the Statistics of Wavelet Signal Processing , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[23]  Anil K. Jain,et al.  Biometric technology for human identification , 2004 .

[24]  Suneeta Agarwal,et al.  Ridgelet-based fake fingerprint detection , 2009, Neurocomputing.

[25]  Georgios C. Anagnostopoulos,et al.  Knowledge-Based Intelligent Information and Engineering Systems , 2003, Lecture Notes in Computer Science.

[26]  F. Segal,et al.  A CHARACTERIZATION OF FIBRANT SEGAL CATEGORIES , 2006, math/0603400.

[27]  Yezeng Cheng,et al.  In Vivo Two- and Three-Dimensional Imaging of Artificial and Real Fingerprints With Optical Coherence Tomography , 2007, IEEE Photonics Technology Letters.

[28]  J. Fierrez-Aguilar,et al.  On the Vulnerability of Fingerprint Verification Systems to Fake Fingerprints Attacks , 2006, Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology.

[29]  Lianhong Cai,et al.  A New Approach to Fake Finger Detection Based on Skin Elasticity Analysis , 2007, ICB.

[30]  Johan Blommé.  Evaluation of biometric security systems against artificial fingers , 2003 .

[31]  M. Drahansky,et al.  Liveness Detection based on Fine Movements of the Fingertip Surface , 2006, 2006 IEEE Information Assurance Workshop.

[32]  Anil K. Jain,et al.  Handbook of Fingerprint Recognition , 2005, Springer Professional Computing.

[33]  Gian Luca Marcialis,et al.  Vitality Detection from Fingerprint Images: A Critical Survey , 2007, ICB.

[34]  David P. Sidlauskas,et al.  Novel spectroscopy-based technology for biometric and liveness verification , 2004, SPIE Defense + Commercial Sensing.

[35]  Y. S. Moon,et al.  Wavelet based fingerprint liveness detection , 2005 .

[36]  R. K. Rowe,et al.  Multispectral fingerprint biometrics , 2005, Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop.

[37]  Mamoru Nakanishi,et al.  A Fingerprint Sensor with Impedance Sensing for Fraud Detection , 2008, 2008 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.

[38]  Lakhmi C. Jain,et al.  Knowledge-Based Intelligent Information and Engineering Systems , 2004, Lecture Notes in Computer Science.

[39]  Anil K. Jain,et al.  Attacks on biometric systems: a case study in fingerprints , 2004, IS&T/SPIE Electronic Imaging.

[40]  Dario Maio,et al.  A New Approach to Fake Finger Detection Based on Skin Distortion , 2006, ICB.

[41]  Stephanie Schuckers,et al.  Characterization, Similarity Score and Uniqueness Associated with Perspiration Pattern , 2005, AVBPA.

[42]  R. K. Rowe.  A Multispectral Sensor for Fingerprint Spoof Detection , 2005 .

[43]  Stephanie Schuckers,et al.  Improvement of an algorithm for recognition of liveness using perspiration in fingerprint devices , 2004, SPIE Defense + Commercial Sensing.