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Hyper-chaotic color image encryption based on 3D orthogonal Latin cubes and RNA diffusion

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Abstract

This paper presents a new image encryption algorithm based on hyper-chaotic system, three-dimensional (3D) orthogonal Latin cube transformation and RNA diffusion, which is so-called HCLRNA. The HCLRNA consists of three main steps. First, a 6D hyper-chaotic system is utilized to produce two chaotic matrices for scrambling and diffusion. Second, the plaintext image is transformed into cubes for 3D orthogonal Latin cubes transformation scrambling. Finally, the scrambled pixel values are converted into RNA codons and diffused over two rounds to obtain the cipher image. Experiments and simulations were conducted on images of sizes 256 × 256 × 3 and 512 × 512 × 3 to evaluate key space, key sensitivity, histogram, etc. The results indicate that the proposed HCLRNA satisfies the requirements of different evaluation indicators, which proves that HCLRNA can resist common attacks effectively. Moreover, compared with other studies, the HCLRNA performs significantly better in resisting differential attacks.

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Acknowledgements

This work was supported by the Ministry of Education of Humanities and Social Science Project (Grant no. 19YJAZH047), the Social Practice Research for Teachers of Southwestern University of Finance and Economics (Grant no. 2022JSSHSJ11), and the Scientific Research Fund of Sichuan Provincial Education Department (Grant no. 17ZB0433).

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  1. Southwestern University of Finance and Economics, Chengdu, 611130, China

    Duzhong Zhang, Lexing Chen & Taiyong Li

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  1. Duzhong Zhang
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Zhang, D., Chen, L. & Li, T. Hyper-chaotic color image encryption based on 3D orthogonal Latin cubes and RNA diffusion. Multimed Tools Appl 83, 3473–3496 (2024). https://doi.org/10.1007/s11042-023-15284-2

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