Random Color Image Encryption Using the Genetic Algorithm

IF 0.8 Q3 MULTIDISCIPLINARY SCIENCES Malaysian Journal of Fundamental and Applied Sciences Pub Date : 2023-05-26 DOI:10.11113/mjfas.v19n3.2907
Hanan Abbas Salman, Duha Amer Mahdi
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Abstract

This paper implements a combined pseudo-random sequence generator based on neural networks and chaotic, random variable color images based on an algorithm for chaotic encryption, secure image storage, and transmission. The generator that controls the operation of the encryption algorithm: the arrangement of pixel positions, the use of random color images of the AES algorithm to achieve encryption, creation algorithms, and neural networks by dynamically updating control parameters and numbers to increase the generated chaotic sequence randomness by using simulation MATLAB for getting output. The chaotic function's iteration of the neural networks. The experimental results are presented in the form of a pixel correlation coefficient and security analysis to prove the security and effectiveness of the proposed chaos-based ANN encryption.
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基于遗传算法的随机彩色图像加密
本文基于混沌加密、图像安全存储和传输算法,实现了一种基于神经网络和混沌随机变色图像的组合伪随机序列发生器。控制加密算法运行的生成器:排列像素位置,利用AES算法中的随机彩色图像实现加密,创建算法,通过动态更新控制参数和个数来增加神经网络生成的混沌序列的随机性,利用仿真MATLAB获得输出。神经网络混沌函数的迭代。实验结果以像素相关系数和安全性分析的形式给出,证明了所提出的基于混沌的人工神经网络加密的安全性和有效性。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
45
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