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An Adaptive Chaos-based Image Encryption Scheme

机译:一种基于混沌的自适应图像加密方案

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摘要

An adaptive color image encryption scheme using chaotic generalized Arnold map is proposed. The three base color components of the plain-image with 256 grayscale levels are decomposed into 6 parts: 3 higher bit-planes parts and 3 lower bit-planes parts. The intensity values of all these 6 parts are summed to get one secrete key used to scramble the resulted 6 matrices by sort-based approach in a cross way. Chaotic sequences produced by one generalized Arnold map are applied to diffuse the scrambled three base color components crossly as well to get more encryption effects. An adaptive strategy is adopted in both the scrambling process and diffusion process, implying that the key streams are all related to the content of the plain-image. Therefore the image encryption scheme shows strong robustness against known/chosen plaintext attacks. Other performances are carried out, such as key sensitivity, histogram, correlation coefficients, information entropy and difference attack analysis. All the experimental results show that the proposed scheme is secure and effective for practical application.
机译:提出了一种利用混沌广义Arnold映射的自适应彩色图像加密方案。具有256个灰度等级的纯图像的三个基本颜色分量被分解为6个部分:3个高位平面部分和3个低位平面部分。将这6个部分的强度值相加,得到一个密钥,该密钥用于通过基于排序的方法以交叉方式对所得的6个矩阵进行加扰。由一个广义的Arnold映射产生的混沌序列被应用于使加扰的三个基色分量交叉扩散,从而获得更多的加密效果。在加扰和扩散过程中都采用了自适应策略,这意味着密钥流都与纯图像的内容有关。因此,图像加密方案显示出对已知/选择的明文攻击的强大鲁棒性。还执行其他性能,例如按键灵敏度,直方图,相关系数,信息熵和差异攻击分析。实验结果表明,该方案是安全有效的。

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