DocumentCode :
2687549
Title :
Fingerprint Traits and RSA Algorithm Fusion Technique
Author :
Conti, Vincenzo ; Vitabile, Salvatore ; Sorbello, Filippo
Author_Institution :
Fac. di Ing. e Architettura e delle Sci. Motorie, Univ. degli Studi di Enna Kore, Enna, Italy
fYear :
2012
fDate :
4-6 July 2012
Firstpage :
351
Lastpage :
356
Abstract :
The present work deals with modern computing systems security issues, focusing on biometric based asymmetric keys generation process. Conventional PKI systems are based on private/public keys generated through RSA or similar algorithms. The present solution embeds biometric information on the private/public keys generation process. In addition the corresponding private key depends on physical or behavioural biometric features and it can be generated when it is needed. Starting from fingerprint acquisition, the biometric identifier is extracted, cyphered, and stored in tamper-resistant smart card to overcome the security problems of centralized databases. Biometric information is then used for user authentication and for public/private keys generation. The initial trials have shown that the asymmetric keys generation distinctive power depends on biometric authentication accuracy, assuring unique asymmetric keys for each authenticated user.
Keywords :
authorisation; fingerprint identification; private key cryptography; public key cryptography; RSA algorithm fusion technique; biometric authentication; biometric based asymmetric keys generation process; biometric information; centralized databases; conventional PKI systems; fingerprint traits; modern computing systems security issues; private keys; public keys; tamper-resistant smart card; Authentication; Encryption; Feature extraction; Fingerprint recognition; Indexes; Public key; Fingerprint; asymetric encryption tecnique; biometric and encryption algorithm fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1233-2
Type :
conf
DOI :
10.1109/CISIS.2012.116
Filename :
6245607
Link To Document :
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