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 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.