• 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