• DocumentCode
    2781611
  • Title

    Permutation-based biometric authentication protocols for mitigating replay attacks

  • Author

    Shelton, Joseph ; Dozier, Gerry ; Adams, J. ; Alford, A.

  • Author_Institution
    Center for Adv. Studies in Identity Sci., North Carolina A&T State Univ., Greensboro, NC, USA
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A biometric replay attack occurs when a victim´s biometric information (in the form of a template) is stolen by a hacker as it is transmitted over a network and used by the hacker to impersonate the victim to gain unauthorized access. Biometric replay attacks can be particularly devastating because the victims of these attacks cannot easily alter their biometrics or the templates associated with their biometrics [1]. In an effort to mitigate biometric replay attacks, the authors of [2] proposed two biometric authentication protocols. These protocols are based on two principles: (a) it is possible to evolve a set of distinct feature extractors (FEs) and (b) distinct FEs produce distinct templates. These principles gave rise to the concept of disposable FEs (and templates). In this paper, we introduce two additional protocols based on disposable FEs and templates. Our results show that these new protocols can be used more efficiently than the two proposed in [2].
  • Keywords
    authorisation; biometrics (access control); feature extraction; protocols; biometric replay attack; disposable FE; feature extractors; hacker; permutation-based biometric authentication protocols; replay attack mitigation; victim biometric information; Accuracy; Authentication; Feature extraction; Histograms; Iron; Protocols; Biometrics; Feature Extraction; Genetic and Evolutionary Computation; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2012 IEEE Congress on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-1510-4
  • Electronic_ISBN
    978-1-4673-1508-1
  • Type

    conf

  • DOI
    10.1109/CEC.2012.6253011
  • Filename
    6253011