| 像素值复合置乱的混沌图像加密方法 |
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| 引用本文： | 刘祝华,曾高荣,谢芳森.像素值复合置乱的混沌图像加密方法[J].计算机工程与应用,2012,48(25):122-126. |
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| 作者姓名： | 刘祝华 曾高荣 谢芳森 |
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| 作者单位： | 江西师范大学 物理与通信电子学院，南昌 330022 |
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| 基金项目： | 江西师范大学青年基金(No.2704);江西师范大学博士基金(No.3338) |
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| 摘 要： | 大部分混沌图像加密方法在进行图像像素值置乱时采用像素值整体处理方式（如异或运算等），这在抵抗已知明文攻击时是非常脆弱的。针对这个问题，提出了一种基于离散Hopfield反馈神经网络的高维混沌图像加密方法。在进行图像像素值置乱时，操作对象是每个像素的每个比特位，每个像素单元的置乱是一个复合处理过程。通过实验验证了该方法的有效性。
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| 关 键 词： | 反馈神经网络 混沌 Lorenz系统 图像加密 置乱 |
Chaotic image encryption method based on pixel value composite scrambling |
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| LIU Zhuhua
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ZENG Gaorong
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XIE Fangsen.Chaotic image encryption method based on pixel value composite scrambling[J].Computer Engineering and Applications,2012,48(25):122-126. |
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| Authors: | LIU Zhuhua ZENG Gaorong XIE Fangsen |
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| Affiliation: | Physics and Communication Electronic College, Jiangxi Normal University, Nanchang 330022, China |
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| Abstract: | For most of chaotic image encryption methods,pixel is often seen as a whole unit to process in pixel value scrambling.It is very weak to resist known cleartext attack.Aiming at the problem,a high dimension chaotic encryption method based on discrete Hopfield feedback neural network is proposed.In the process of pixel value scrambling,each bit of pixel is the handle object.So the scrambling of each pixel value is a composite process.The validity of this method is verified through experimental results. |
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| Keywords: | feedback neural network chaos Lorenz system image encryption scrambling |
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