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A chaotic image encryption algorithm based on a counting system and the semi-tensor product

机译:一种基于计数系统和半张量产品的混沌图像加密算法

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摘要

Based on the n-ary counting system, combined with the matrix semi-tensor product theory and Hilbert curve, a chaotic image encryption algorithm is designed. Different from the traditional encryption method, the algorithm proposed in this paper is an encryption algorithm with scrambling and diffusion at the same time. First, the pixel value is converted from decimal to n-ary. In the n-ary counting system, the plaintext image is randomly divided into some groups, and the Hilbert curve is used for scrambling to each group. The blocks are converted into scrambled images, so that the scrambling and diffusion can be carried out at the same time. Then, in order to improve the security of the algorithm, another round of diffusion is carried out based on matrix semi-tensor product mechanism. Chaotic sequence is generated by Chen system. This chaotic sequence performs matrix semi-tensor product operation with the first round of encrypted image, and generate second encrypted images. Finally, this encryption method is applied to color image encryption. Compared with some representative algorithms, the experimental results show that the algorithm proposed in this paper is secure and it can resist common attacks.
机译:基于N-ARY计数系统,与矩阵半张解产品理论和HILBERT曲线相结合,设计了一种混沌图像加密算法。与传统的加密方法不同,本文提出的算法是一种加密算法,同时争抢和扩散。首先,像素值从十进制转换为n-ary。在N-ARY计数系统中,明文图像被随机分为某些组,并且HILBERT曲线用于扰乱每个组。该块被转换为加扰图像,从而可以同时进行加扰和扩散。然后,为了提高算法的安全性,基于矩阵半张量产品机构进行另一轮扩散。混沌序列由陈系统生成。这种混沌序列利用第一轮加密图像执行矩阵半张量产品操作,并生成第二加密图像。最后,该加密方法应用于彩色图像加密。与一些代表性算法相比,实验结果表明,本文提出的算法是安全的,它可以抵抗常见的攻击。

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