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An Image Encryption Algorithm Based on Hyperchaotic System and Variable-Step Josephus Problem

机译:一种基于超混沌系统的图像加密算法和可变步骤Josephus问题

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In this paper, an image encryption algorithm based on a hyperchaotic system and variable-step Josephus problem is proposed. Based on an in-depth analysis of the classic Josephus problem, a new variable-step Josephus problem that combines the pseudorandom sequence with the Josephus problem is proposed. Firstly, the hash value of the plaintext image is calculated, which is converted to the initial value of the chaotic system. Secondly, the chaotic system is iterated to generate four pseudorandom sequences X, Y, Z, and W. The sequences X, Y, and Z are input as parameters into the variable-step Josephus function to scramble the positions of the rows, pixel bits, and columns of the image, respectively. Finally, the elements of the sequence W and the image pixels are used to perform the addition operation. According to the experiments, the information entropy of the encrypted image with size 256?256 reaches 7.997 and the adjacent correlations in three directions are within ±0.01. The experimental results show that image encryption algorithm proposed in this paper has plaintext sensitivity and can resist the common attacks.
机译:在本文中,提出了一种基于超色度系统和可变步骤Josephus问题的图像加密算法。基于对经典的Josephus问题的深入分析,提出了一种新的变量步骤Josephus问题,其将伪随机序列与Josephus问题的问题结合起来。首先,计算明文图像的散列值,该散列值被转换为混沌系统的初始值。其次,迭代混沌系统以生成四个伪随机序列x,y,z和w。序列x,y和z被输入为参数进入可变步骤Josephus函数,以扰乱行的位置,像素位的位置。和图像的列分别。最后,使用序列W和图像像素的元素来执行添加操作。根据实验,具有尺寸256〜256的加密图像的信息熵达到7.997,并且三个方向的相邻相关性在±0.01内。实验结果表明,本文提出的图像加密算法具有明文灵敏度,可以抵抗常见的攻击。

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