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A Robust Image Encryption Algorithm Based on a 32-bit Chaotic System

机译:一种基于32位混沌系统的鲁棒图像加密算法

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摘要

In these years, image encryption systems based on chaotic maps have received considerable attention from researchers. For the security of encryption algorithms, it is important to ensure that chaotic systems can produce high quality pseudo-random sequences. However, when a chaotic system that theoretically has good random performance is deployed in a limited precision platform, its random performance will deteriorate. We prove that even if the precision reaches 256-bit, the piecewise linear chaotic map still fails to achieve the desired random performance. Moreover, in the case of low precision, the cascade structure commonly used in mixed chaotic maps will aggravate the problem of random degeneration. To generate good pseudo-random numbers in low-precision platforms, we propose a positive integer random sequence generator, called 32-bit PL & x005F;PWLCM & x0026;LM, which comprises two 32-bit PL & x005F;PWLCMs and one 32-bit logistic map in parallel. In our proposed image encryption system, we adopt the permutation algorithm with four pixels as a permutation unit and the diffusion algorithm based on rows and columns. The security and performance analyses prove that the proposed scheme is a secure, robust, and fast image encryption algorithm. Source codes are shared on GitHub: https://github.com/cuclihao/Pic_Enc_V3
机译:在这些年来,基于混沌映射的图像加密系统从研究人员获得了相当大的关注。对于加密算法的安全性,重要的是要确保混沌系统可以产生高质量的伪随机序列。但是,当在理论上有良好的随机性能的混沌系统在有限的精密平台上部署时,其随机性能会恶化。我们证明,即使精度达到256位,分段线性混沌映射仍然无法达到所需的随机性能。此外,在低精度的情况下,混合映射中常用的级联结构将加剧随机变性的问题。为了在低精度平台中生成良好的伪随机数,我们提出了一个正整数随机序列发生器,称为32位PL&X005F; PWLCM&X0026; LM,其中包括两个32位PL&X005F; PWLCMS和一个32 -bit Logistic地图并行。在我们提出的图像加密系统中,我们采用具有四个像素的排列算法作为基于行和列的置换单元和扩散算法。安全性和性能分析证明了所提出的方案是一种安全,稳健和快速的图像加密算法。源代码在github上共享: https://github.com/cuclihao/pic_enc_v3

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