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New color image encryption algorithm based on compound chaos mapping and hyperchaotic cellular neural network

机译:基于复合混沌映射和超混沌细胞神经网络的彩色图像加密新算法

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摘要

We propose an image encryption/decryption algorithm based on chaotic control parameter and hyperchaotic system with the composite permutation-diffusion structure. Compound chaos mapping is used to generate control parameters in the permutation stage. The high correlation between pixels is shuffled. In the diffusion stage, compound chaos mapping of different initial condition and control parameter generates the diffusion parameters, which are applied to hyperchaotic cellular neural networks. The diffusion key stream is obtained by this process and implements the pixels' diffusion. Compared with the existing methods, both simulation and statistical analysis of our proposed algorithm show that the algorithm has a good performance against attacks and meets the corresponding security level.
机译:我们提出了一种基于混沌控制参数和超混沌系统的复合置换扩散结构的图像加密/解密算法。复合混沌映射用于在置换阶段生成控制参数。像素之间的高相关性被混洗。在扩散阶段,不同初始条件和控制参数的复合混沌映射生成扩散参数,并将其应用于超混沌细胞神经网络。通过该处理获得扩散密钥流,并且实现像素的扩散。与现有方法相比,本文算法的仿真和统计分析均表明该算法具有良好的抗攻击性能,并满足相应的安全级别。

著录项

  • 来源
    《Journal of electronic imaging》 |2013年第1期|013036.1-013036.10|共10页
  • 作者单位

    Changchun University of Science and Technology School of Computer Science and Technology Changchun 130022, China;

    Changchun University of Science and Technology School of Electronics and Information Engineering Changchun 130022, China;

    Changchun University of Science and Technology School of Software Changchun 130022, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 01:17:35

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