DocumentCode :
3200004
Title :
Assessment of privacy enhancing technologies for biometrics
Author :
Bissessar, David ; Gorodnichy, Dmitry O. ; Stoianov, Alex ; Thieme, Michael
Author_Institution :
Sci. & Eng. Directorate, Canada Border Services Agency, Ottawa, ON, Canada
fYear :
2012
fDate :
11-13 July 2012
Firstpage :
1
Lastpage :
9
Abstract :
Biometric privacy-enhancing technologies (PET) include two major groups: Biometric Encryption and Cancelable Biometrics. They enhance both privacy and security of a biometric system, thus embodying the Privacy by Design principles in a way that benefits the individual and minimizes the privacy risks. In this paper, the results of independent third-party evaluation of a commercial biometric PET product are presented. The GenKey “BioCryptic® ID Management System” is evaluated against a benchmark commercial product, Neurotechnology VeriFinger version 6.3. The database contained approximately 20,000 flat fingerprint images from 1,200 subjects. For a two-finger, two images per finger enrollment, the best results are: at FMR = 0.1%, FNMR = 1.54% for the PET System and FNMR = 1.74% for the benchmark system; at FMR = 0.01%, FNMR = 2.41% for the PET System and FNMR = 1.74% for the benchmark system. The results also suggest that specific subjects are substantially more likely than others to cause false matches. Security issues of the PET system are briefly discussed but no security evaluation is performed. The study demonstrates the viability of fingerprint-based PETs from a matching accuracy perspective.
Keywords :
cryptography; data privacy; fingerprint identification; image matching; FNMR; GenKey BioCryptic ID Management System; Neurotechnology VeriFinger version 6.3; biometric encryption; biometrics privacy enhancing technology enhancement; cancelable biometrics; commercial biometric PET product; fingerprint image; fingerprint-based PET system; matching accuracy perspective; privacy by design principles; Accuracy; Benchmark testing; Biometrics; Fingerprint recognition; Positron emission tomography; Privacy; Security; Biometric Encryption; Performance Evaluation; Privacy; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Security and Defence Applications (CISDA), 2012 IEEE Symposium on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4673-1416-9
Type :
conf
DOI :
10.1109/CISDA.2012.6291517
Filename :
6291517
Link To Document :
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