4.5 Article

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

出版社

ELSEVIER
DOI: 10.1016/j.jisa.2021.102854

关键词

Image encryption; Chaotic system; Discrete cosine transform; Security analysis

资金

  1. National Natural Science Foundation of China [61701043, 41874140]
  2. Shaanxi Province Science and Technology Program [2020JM220, 2020JQ351, 2018GY019]
  3. Fundamental Research Funds for the Central Universities of China [300102240205]
  4. Natural Science Foundation of Heilongjiang [F2018022]

向作者/读者索取更多资源

A new two-dimensional chaotic map, 2D-LACM, is proposed in this paper, which is then used for an image encryption algorithm. Experimental and analytical results demonstrate its good security performance.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据