DocumentCode :
2417032
Title :
ZeroBio - Evaluation and Development of Asymmetric Fingerprint Authentication System Using Oblivious Neural Network Evaluation Protocol
Author :
Nagai, Kei ; Kikuchi, Hiroaki ; Ogata, Wakaha ; Nishigaki, Masakatsu
Author_Institution :
Graduate Sch. of Eng.,, Tokai Univ., Kanagawa
fYear :
2007
fDate :
10-13 April 2007
Firstpage :
1155
Lastpage :
1159
Abstract :
We propose a cryptographic protocol for biometrics authentication without revealing personal biometrical data against malicious verifier. Our protocol uses a neural network and zero-knowledge interactive proof. In this paper, we developed a sample implementation system of our proposed protocol and we evaluate the performance and the accuracy of the proposed protocol. Especially, we study several algorithms for feature extraction of minutiae of fingerprint which is appropriate to our protocol. We examine false acceptance rates and rejection rates
Keywords :
cryptographic protocols; feature extraction; fingerprint identification; neural nets; ZeroBio; asymmetric fingerprint authentication system; biometric authentication; cryptographic protocol; malicious verifier; minutiae feature extraction; neural network evaluation protocol; zero-knowledge interactive proof; Authentication; Bioinformatics; Biometrics; Cryptographic protocols; Feature extraction; Fingerprint recognition; Image reconstruction; Independent component analysis; Neural networks; Principal component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Availability, Reliability and Security, 2007. ARES 2007. The Second International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2775-2
Type :
conf
DOI :
10.1109/ARES.2007.162
Filename :
4159921
Link To Document :
بازگشت