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The Research and Design of Digital Signature Scheme Based on Biometrics

Author: ZhaoXueFeng
Tutor: XinXiaoLong
School: Northwestern University
Course: Computational Mathematics
Keywords: Biometric Fuzzy extractor Multiple biometric Identity - based signature
CLC: TP391.4
Type: Master's thesis
Year: 2009
Downloads: 104
Quote: 1
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Abstract


Biometric its unique advantages to become the focus of concern in the field of information security . The research and design of biometric identity - based digital signature scheme . This article first briefly introduces several common biometric identification technology , compare the pros and cons of each authentication typical use of biometric authentication systems may be subject to attack , and then discusses a biometric - based key generation technology - fuzzy extractor can change biometric stable extracted distribution consistent with a strong key , and provides a new way for us to take advantage of biometric authentication . The author through the the fuzzy extractor extracted from the biometric the biological key cryptography significance , and applied to subsequent digital signature scheme . The fuzzy extractor was originally designed under the conditions of the local authentication , with the extensive application of the network , real-time requirements of the certification system is getting higher and higher , it shows some limitations , will lead to some security issues . Made a detailed introduction of the first fuzzy extraction techniques , and then raised in a non- secure channel the remote certification under the conditions of its improvements , then the improved fuzzy extractor extracts used in identity-based digital signature key programs. Showing their limitations in the practical application in view of a single biometric , can not meet the actual requirements , and therefore create a digital signature system based on multiple biometrics is necessary to design a digital signature scheme based on multiple biometric .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices
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