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
Link To Document :
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