Ndassi Herman Landry, Kengne Romanic, Gakam Tegue Armand Gabriel, Motchongom Marceline Tingue, Tchitnga Robert, Tchoffo Martin
Research Unit of Condensed Matter of Electronics and Signal Processing, Department of Physics, University of Dschang, P.O. Box 67, Dschang, Cameroon.
Research Group on Experimental and Applied Physics for Sustainable Development (EAPhySuD), University of Dschang, P.O. Box 67 Dschang, Cameroon.
Heliyon. 2023 May 30;9(6):e16514. doi: 10.1016/j.heliyon.2023.e16514. eCollection 2023 Jun.
The present work studies a novel efficient compressed based cryptosystem which combines a dynamical parameter coming from high dimensional system, a dynamics S-box and a 2D compress sensing (2D-CS). Firstly, a secret key depending on input image is gotten via the SHA-256 function. That input image, decomposed into four sub-images uses chaotic sequences of the novel 7D multistable system to perform 2D compress sensing. Afterward, the previous compressed image is substituted by the key-dependent Mordell elliptic curve based dynamic S-box. At the end, the diffusion of the substituted image is proceed by chaotic sequences coming from the novel 7D multistable system. The compressed based cryptosystem presented here is considerably dependent on the original image. Moreover, the 7D chaotic system exhibits phenomenon of transient chaos. Equally, we have found plan equilibria hidden attractors which is a good chaos based property in cryptography. Let's recall that up to date, phenomenon of transient chaos and plan equilibria hidden attractors are rarely reported in Josephson junction systems. This denothing the novelty of this article. Through well-known metrics, the results found are evaluated and validated as well as their robustness over brute force attacks. The obtained results are termed as good in accordances with the existing ones over the literature.
本工作研究了一种新型高效的基于压缩的密码系统，该系统结合了来自高维系统的动态参数、动态S盒和二维压缩感知（2D-CS）。首先，通过SHA-256函数获得依赖于输入图像的密钥。将该输入图像分解为四个子图像，使用新型7D多稳态系统的混沌序列进行二维压缩感知。之后，用基于依赖密钥的莫德尔椭圆曲线的动态S盒替换先前的压缩图像。最后，通过来自新型7D多稳态系统的混沌序列对替换后的图像进行扩散。这里提出的基于压缩的密码系统在很大程度上依赖于原始图像。此外，7D混沌系统表现出瞬态混沌现象。同样，我们发现了平面平衡点隐藏吸引子，这在密码学中是基于混沌的良好特性。需要回顾的是，到目前为止，瞬态混沌现象和平面平衡点隐藏吸引子在约瑟夫森结系统中很少被报道。这说明了本文的新颖性。通过众所周知的指标，对所得到的结果进行了评估和验证，以及它们在暴力攻击下的鲁棒性。所获得的结果与文献中现有的结果相比被认为是良好的。
