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A Symmetric Chaos-Based Image Cipher with an Improved Bit-Level Permutation Strategy

机译:具有改进的位级排列策略的对称混沌图像密码

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Very recently, several chaos-based image ciphers using a bit-level permutation have been suggested and shown promising results. Due to the diffusion effect introduced in the permutation stage, the workload of the time-consuming diffusion stage is reduced, and hence the performance of the cryptosystem is improved. In this paper, a symmetric chaos-based image cipher with a 3D cat map-based spatial bit-level permutation strategy is proposed. Compared with those recently proposed bit-level permutation methods, the diffusion effect of the new method is superior as the bits are shuffled among different bit-planes rather than within the same bit-plane. Moreover, the diffusion key stream extracted from hyperchaotic system is related to both the secret key and the plain image, which enhances the security against known/chosen plaintext attack. Extensive security analysis has been performed on the proposed scheme, including the most important ones like key space analysis, key sensitivity analysis, plaintext sensitivity analysis and various statistical analyses, which has demonstrated the satisfactory security of the proposed scheme.
机译:最近,已经提出了几种使用比特级排列的基于混沌的图像密码,并显示出令人鼓舞的结果。由于在置换阶段引入了扩散效应,因此减少了耗时的扩散阶段的工作量,从而提高了密码系统的性能。本文提出了一种基于3D猫图的基于空间位级置换的对称混沌图像密码算法。与最近提出的那些比特级置换方法相比,新方法的扩散效果更好,因为这些比特在不同的比特平面之间而不是在相同的比特平面内被混洗。而且,从超混沌系统提取的扩散密钥流与秘密密钥和纯图像都相关,这增强了针对已知/选择的明文攻击的安全性。对所提出的方案进行了广泛的安全性分析,包括最重要的安全性分析,如密钥空间分析,密钥敏感性分析,明文敏感性分析和各种统计分析,证明了所提出方案的安全性。

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