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
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