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Robust digital image cryptosystem based on nonlinear dynamics of compound sine and cosine chaotic maps for private data protection

机译:基于复合正弦和余弦混沌映射的非线性动力学的鲁棒数字图像密码系统,用于私有数据保护

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This paper presents a digital image cryptosystem based on nonlinear dynamics of a compound sine and cosine chaotic map. The compound sine and cosine chaotic map is proposed for high-degree of chaos over most regions of parameter spaces in order to increase high-entropy random-bit sources. Image diffusion is performed through pixel shuffling and bit-plane separations prior to XOR operations in order to achieve a fast encryption process. Security key conversions from ASCII code to floating number for use as initial conditions and control parameters are also presented in order to enhance key-space and key-sensitivity performances. Experiments have been performed in MATLAB using standard color images. Nonlinear dynamics of the chaotic maps were initially investigated in terms of Cobweb map, chaotic attractor, Lyapunov exponent spectrum, bifurcation diagram, and 2-dimensional parameter spaces. Encryption qualitative performances are evaluated through pixel density histograms, 2-dimensional power spectral density, key space analysis, key sensitivity, vertical, horizontal, and diagonal correlation plots. Encryption quantitative performances are evaluated through correlation coefficients, NPCR and UACI. Demonstrations of wrong-key decrypted image are also included.
机译:本文提出了一种基于复合正弦和余弦混沌映射的非线性动力学的数字图像密码系统。提出了复合正弦和余弦混沌映射,以在参数空间的大多数区域上实现高度混沌,以增加高熵随机位源。为了实现快速加密过程,在XOR操作之前通过像素混洗和位平面分离来执行图像扩散。还介绍了安全密钥从ASCII码到浮点数的转换,以用作初始条件和控制参数,以增强密钥空间和密钥敏感性。已经在MATLAB中使用标准彩色图像进行了实验。最初根据蜘蛛网图,混沌吸引子,李雅普诺夫指数谱,分叉图和二维参数空间研究了混沌图的非线性动力学。通过像素密度直方图,二维功率谱密度,密钥空间分析,密钥灵敏度,垂直,水平和对角线相关图评估加密定性性能。通过相关系数,NPCR和UACI评估加密的量化性能。还包括错误密钥解密图像的演示。

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