An efficient remote user authentication with key agreement procedure based on convolution-Chebyshev chaotic maps using biometric

The study of chaotic constructions and their associated cryptographic frameworks has sparked a lot of research interest in recent years. Latest advances in wireless technology and the proliferating limitations posed by open communication channels, biometric-enabled remote client authentication proce...

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Bibliographic Details
Published in:The Journal of supercomputing 2022-07, Vol.78 (10), p.12792-12814
Main Authors: Meshram, Chandrashekhar, Ibrahim, Rabha W., Meshram, Sarita Gajbhiye, Imoize, Agbotiname Lucky, Jamal, Sajjad Shaukat, Barve, Sharad Kumar
Format: Article
Language:English
Subjects:
Authentication
Biometrics
Chaos theory
Chebyshev approximation
Compilers
Computer Science
Convolution
Cryptography
Interpreters
Processor Architectures
Programming Languages
Secrecy aspects
Smart cards
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Summary:The study of chaotic constructions and their associated cryptographic frameworks has sparked a lot of research interest in recent years. Latest advances in wireless technology and the proliferating limitations posed by open communication channels, biometric-enabled remote client authentication procedures with passwords have recently gained traction. In order to address this problem, this paper proposes a secure biometric-based remote user authentication procedure using convolution-Chebyshev chaotic maps with a key agreement procedure. The extended convolution-Chebyshev chaotic maps-based scheme was developed over the interval ( - ∞ , + ∞ ) , and the required properties for the procedure were verified rigorously. The proposed procedure provides a secure client authentication mechanism using biometrics. Additionally, the projected procedure provides a good key agreement feature with perfect forward secrecy while reducing the computation loads for smart cards. As a result, the proposed procedure outperforms related authentication procedures in terms of security and computational performance.
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-021-04280-8