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A secure image encryption method based on dynamic harmony search (DHS) combined with chaotic map

机译:基于动态和声搜索(DHS)结合混沌映射的安全图像加密方法

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In recent years, there has been increasing interest in the security of digital images. This study focuses on the gray scale image encryption using dynamic harmony search (DHS). In this research, first, a chaotic map is used to create cipher images, and then the maximum entropy and minimum correlation coefficient is obtained by applying a harmony search algorithm on them. This process is divided into two steps. In the first step, the diffusion of a plain image using DHS to maximize the entropy as a fitness function will be performed. However, in the second step, a horizontal and vertical permutation will be applied on the best cipher image, which is obtained in the previous step. Additionally, DHS has been used to minimize the correlation coefficient as a fitness function in the second step. The simulation results have shown that by using the proposed method, the maximum entropy and the minimum correlation coefficient, which are approximately 7.9998 and 0.0001, respectively, have been obtained. (C) 2016 Elsevier Ltd. All rights reserved.
机译:近年来,人们对数字图像的安全性越来越感兴趣。这项研究的重点是使用动态和声搜索(DHS)的灰度图像加密。在这项研究中,首先,使用混沌图来创建密码图像,然后通过对它们应用和谐搜索算法来获得最大熵和最小相关系数。此过程分为两个步骤。在第一步中,将使用DHS进行普通图像的扩散,以使熵最大化(作为适应度函数)。但是,在第二步中,水平和垂直排列将应用于在上一步中获得的最佳密码图像。另外,在第二步中,DHS已被用于使相关系数最小化,作为适应度函数。仿真结果表明,通过所提出的方法,可获得分别约为7.9998和0.0001的最大熵和最小相关系数。 (C)2016 Elsevier Ltd.保留所有权利。

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