Novel image encryption algorithm using fractional chaos and cellular neural network

The work presented in this article gives a novel digital image encryption algorithm using a fractional-order chaotic system and cellular neural network. The encryption is done on the lines of chaos-based permutation-substitution architecture. The main contribution lies in key-generation, which is inspired from the Merkel-Damgard scheme. The diffusion mechanism is performed with the help of Conway's game of life and NARX network. Extensive experimental results of the cipher indicate that the algorithm can withstand classical cryptanalysis and can outperform many other existing image encryption algorithms. Moreover, the scheme fairs pretty well on theoretical aspects of security and passes most of the NIST standards.

Automated summary

The article introduces a novel digital image encryption algorithm utilizing a fractional-order chaotic system and cellular neural network for encryption, with innovative key-generation and diffusion mechanism. The extensive experimental results suggest that the algorithm is resistant to classical cryptanalysis and outperforms many existing encryption methods. Additionally, the scheme meets most of the NIST standards in terms of security.