Ran Bo, Zhang Tianshuo, Wang Lihong, Liu Sheng, Zhou Xiaoyi
School of Cyberspace Security, Hainan University, Haikou 570100, China.
Entropy (Basel). 2022 Jul 10;24(7):958. doi: 10.3390/e24070958.
Image encryption based on a chaos system can effectively protect the privacy of digital images. It is said that a 3D chaotic system has a larger parameter range, better unpredictability and more complex behavior compared to low-dimension chaotic systems. Motivated by this fact, we propose a new image cryptosystem that makes use of a 3D chaotic system. There are three main steps in our scheme. In the first step, the chaotic system uses the hash value of the plaintext image to generate three sequences. In step two, one of the sequences is used to dynamically select confusion and diffusion methods, where confusion and diffusion have three algorithms, respectively, and will produce 32n (n > 100) combinations for encryption. In step three, the image is divided into hundreds of overlapping subblocks, along with the other two sequences, and each block is encrypted in the confusion and diffusion process. Information entropy, NPCR, UACI results and various security analysis results show that the algorithm has a better security performance than existing, similar algorithms, and can better resist clipping, noise, statistical analysis and other attacks.
基于混沌系统的图像加密能够有效保护数字图像的隐私。据说,与低维混沌系统相比,三维混沌系统具有更大的参数范围、更好的不可预测性以及更复杂的行为。受这一事实的启发,我们提出了一种利用三维混沌系统的新型图像加密系统。我们的方案主要有三个步骤。第一步,混沌系统利用明文图像的哈希值生成三个序列。第二步,其中一个序列用于动态选择置乱和扩散方法,置乱和扩散分别有三种算法,并且会产生32n(n>100)种加密组合。第三步,将图像划分为数百个重叠子块,连同另外两个序列一起,每个块在置乱和扩散过程中进行加密。信息熵、归一化像素改变率(NPCR)、归一化平均绝对误差(UACI)结果以及各种安全性分析结果表明,该算法比现有的类似算法具有更好的安全性能,并且能够更好地抵御裁剪、噪声、统计分析等攻击。