Abstract:

In this paper, the authors propose a new two-dimensional sine-cosine coupling chaos map (2D- SCCM) and evaluate its performance through various methods such as trajectory distribution maps, Lyapunov exponents, sample entropy, and sequence sensitivity. The results indicate that the 2D-SCCM exhibits superior randomness and ergodicity compared to existing two- dimensional chaotic systems. Additionally, it demonstrates a wider hyperchaotic range, making it a promising candidate for practical applications.To test its practical use, the authors integrate the 2D-SCCM into a color image encryption algorithm. The process begins by combining a plain image with a hash function to generate a key. Then, random sequences produced by the 2D-SCCM and the Arnold map are used to construct substitution boxes (S-Boxes). The final encryption algorithm utilizes these S-Boxes alongside the chaotic map and hash function to encrypt the image.

Description:

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