Result: A novel chaos-based secure transmission of biometric data

Title:
A novel chaos-based secure transmission of biometric data
Source:
Neurocomputing (Amsterdam). 147:444-455
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 31 ref
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Cryptographie, Cryptography, Application logistique, Logistic map, Aplicación logística, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Biométrie, Biometrics, Biometría, Chaos, Caos, Cryptanalyse, Cryptanalysis, Criptoanálisis, Cryptographie, Cryptography, Criptografía, Décryptage, Decryption, Desciframiento, Efficacité, Efficiency, Eficacia, Méthode Gram Schmidt, Gram Schmidt method, Método Gram Schmidt, Orthogonalisation, Orthogonalization, Ortogonalización, Robustesse, Robustness, Robustez, Résultat expérimental, Experimental result, Resultado experimental, Transformation ondelette, Wavelet transformation, Transformación ondita, Transmission donnée, Data transmission, Transmisión datos, Biometrics protection, Fractional random wavelet transform, Generalized logistic map, Gram-Schmidt orthogonalization, Modular transform
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Indian Institute of Technology Jodhpur, Jodhpur 342011, Rajasthan, India
University of Windsor, Windsor, ON, N9B3P4, Canada
ISSN:
0925-2312
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Telecommunications and information theory
Accession Number:
edscal.28836770
Database:
PASCAL Archive

Further Information

This paper presents a novel chaotic encryption technique for the secure transmission of biometrics data. The proposed technique relies on the fractional random wavelet transform (FrRnWT), the modular transform and the generalized logistic map (GLM). The core idea is to decompose a biometric image into a fractional random wavelet domain using the chaotically generated transform orders. The FrRnWT coefficients are then diffused by a chaotically generated matrix key. In the penultimate step, the modular transform is applied on the diffused image to get the encrypted biometrics image. A reliable decryption process is proposed to reconstruct the original biometrics from the encrypted image. The experimental results and analysis demonstrate the efficiency and robustness of the proposed technique.