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2D Logistic-Adjusted-Chebyshev map for visual color image encryption

机译:2D逻辑调整 - Chebyshev地图,用于视觉彩色图像加密

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摘要

With the increasing requirements of the performance in secure communication filed based on chaos, chaotic systems have been gradually developed into higher dimensions. Because the sequence generated by onedimension chaos, such as Chebyshev map has the problem of weak chaotic properties and uneven distribution, a new two-dimensional chaotic map, called Logistic-Adjusted-Chebyshev map (2D-LACM), is proposed in this paper which enlarges the range of chaotic control parameter, and expands the range of surjection to the entire control parameter interval to make the distribution of the sequence more uniform. Compared with other improved chaotic maps, the proposed 2D-LACM in this paper has more complex chaotic properties and better ergodicity. Next, a visualized image encryption algorithm based on 2D-LACM is proposed (LACM-VIEA), which can encrypt the plain image into a noisy image, and then embed it into a cover image of the same size. In order to demonstrate the security of LACM-VIEA, the algorithm is analyzed in detail from the aspects of key, histogram, visual effect, robustness and anti-plaintext attacks, etc. The final analysis results show that LACM-VIEA has good security performance.
机译:随着基于混沌提交的安全通信性能的越来越多,混沌系统已逐渐发展成更高的维度。因为由oneDimeNing混沌产生的序列,例如Chebyshev地图具有弱混沌特性和不均匀分布的问题,因此在本文中提出了一种名为Logistic-Symeded-Chebyshev Map(2D-Lacm)的新的二维混沌图,其中扩大混沌控制参数范围,并扩展到整个控制参数间隔的冲突范围,以使序列的分布更加均匀。与其他改进的混沌图相比,本文中所提出的2D-LacM具有更复杂的混沌性能和更好的遍历性。接下来,提出基于2D-LACM的可视化图像加密算法(LACM-VIEA),其可以将普通图像加密到嘈杂的图像中,然后将其嵌入到相同大小的盖子图像中。为了证明Lacm-Viea的安全性,从关键,直方图,视觉效果,鲁棒性和抗明文攻击等方面详细分析了算法。最终分析结果表明,Lacm-Viea具有良好的安全性能。

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