• Aviral Srivastava

In recent years, there has been a growing interest in using chaotic neural networks for secure cryptography. One of the recent developments in this field is the use of wavelet-based chaotic neural networks, which add an additional layer of complexity to the system. In this paper, we present a study on the use of wavelet-based chaotic neural networks for secure cryptography, with a focus on the effects of wavelet function and chaotic map selection. We demonstrate that careful selection of these parameters can significantly enhance the security of the system. Our results show that the proposed system provides a high level of security and can be a promising approach for secure data encryption.

Cryptography, Wavelet-Based Chaotic Neural Network, secure communication

"Wavelet-Based Chaotic Neural Network for Secure Cryptography: A Study on the Effects of Wavelet Function and Chaotic Map Selection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.b285-b291, July-2023, Available :http://www.jetir.org/papers/JETIR2307138.pdf

"Wavelet-Based Chaotic Neural Network for Secure Cryptography: A Study on the Effects of Wavelet Function and Chaotic Map Selection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppb285-b291, July-2023, Available at : http://www.jetir.org/papers/JETIR2307138.pdf