DocumentCode :
3035111
Title :
A Multibiometric Encryption Key Algorithm Using Fuzzy Vault to Protect Private Key in BioPKI Based Security System
Author :
Dao Vu Hiep ; Tran Quang Duc ; Nguyen Thi Hoang Lan
Author_Institution :
Fac. of Inf. Technol., Hanoi Univ. of Technol., Hanoi, Vietnam
fYear :
2010
fDate :
1-4 Nov. 2010
Firstpage :
1
Lastpage :
6
Abstract :
The Public Key Infrastructure (PKI) provides excellent security for e-transactions and other applications. However, in traditional PKI system, Private Key is often stored at central databases or inside distributed smart-cards and protected by password or PIN that may be lost, stolen, forgotten or guessed. Current trend for PKI system is to be based on physiological and behavioral characteristics of people, known as biometrics. But this approach still poses a threat which is the secrecy of template. Moreover, biometric based security system also faces some problems such as: noise in sensed data, intra-class variations, inter-class similarities, non-universality, spoofing attack. In this paper, we propose a Multibiometric Encryption Key Algorithm to overcome the aforementioned issues by using Fuzzy Vault Scheme - a cryptosystem - which secures both the Private Key and multi-biometric templates. We also present the BioPKI system in which the algorithm is integrated. The experimental results with the system are encouraging.
Keywords :
fingerprint identification; fuzzy set theory; private key cryptography; public key cryptography; smart cards; transaction processing; BioPKI based security system; biometric based security system; distributed smart-cards; e-transactions; fingerprint authentication; fuzzy vault scheme; inter-class similarities attack; intra-class variations attack; multibiometric encryption key algorithm; nonuniversality attack; private key; public key infrastructure; spoofing attack; Biometrics; Encryption; Fingerprint recognition; Polynomials; Public key;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2010 IEEE RIVF International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-8074-6
Type :
conf
DOI :
10.1109/RIVF.2010.5632693
Filename :
5632693
Link To Document :
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