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• W2029672942 endingPage "1206" @default.
• W2029672942 startingPage "1193" @default.
• W2029672942 abstract "Biometric cryptosystems provide an innovative solution for cryptographic key generation, encryption as well as biometric template protection. Besides high authentication accuracy, a good biometric cryptosystem is expected to protect biometric templates effectively, which requires that helper data does not reveal significant information about the templates. Previous works predominantly follow an appropriate entropy definition to measure the security of biometric cryptosystems. In this paper, we point out limitations of entropy-based security analysis and propose a new security analysis framework that combines information-theoretic approach with computational security. In addition, we construct a fingerprint-based multibiometric cryptosystem (MBC) using decision level fusion. Hash functions are employed in our construction to further protect each single biometric trait. The experimental results and security analysis demonstrate that the proposed MBC provides stronger security and better authentication accuracy compared with a cryptosystem based on single biometric." @default.
• W2029672942 created "2016-06-24" @default.
• W2029672942 creator A5045977578 @default.
• W2029672942 creator A5054741725 @default.
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• W2029672942 date "2015-06-01" @default.
• W2029672942 modified "2023-10-01" @default.
• W2029672942 title "A New Biocryptosystem-Oriented Security Analysis Framework and Implementation of Multibiometric Cryptosystems Based on Decision Level Fusion" @default.
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• W2029672942 doi "https://doi.org/10.1109/tifs.2015.2402593" @default.
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