• DocumentCode
    3667666
  • Title

    Vulnerabilities of fuzzy vault schemes using biometric data with traces

  • Author

    Maryam Lafkih;Patrick Lacharme;Christophe Rosenberger;Mounia Mikram;Sanaa Ghouzali;Mohammed El Haziti;Driss Aboutajdine

  • Author_Institution
    LRIT (Associated unit with CNRST, URAC 29), Faculty of Sciences, Mohammed V University, Rabat, Morocco
  • fYear
    2015
  • Firstpage
    822
  • Lastpage
    827
  • Abstract
    Biometric cryptosystems represent emerging techniques for biometric template protection. These cryptosystems are vulnerable to different types of attacks, as brute force attacks or correlation attacks if several templates are compromised. Another biometric security issue comes from certain biometric data (as fingerprint or face image) that can leave traces, but are, in the same time, the most commonly biometric modalities used in mobile security. In this paper, a new attack based on the alteration of original user data is investigated on fuzzy Vault biometric cryptosystems. We assume that the attacker uses a modified version of the real user image to gain unauthorized access to the system (mobile phone). Experimental results carried out using fingerprint and face modalities show that this assumption has serious impact on the security of this type of biometric cryptosystems.
  • Keywords
    "Feature extraction","Face","Authentication","Cryptography","Polynomials","Image resolution","Biomedical imaging"
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2015 International
  • Type

    conf

  • DOI
    10.1109/IWCMC.2015.7289189
  • Filename
    7289189