基于遗传-超混沌的数字图像加密算法设计

杨娜

doi:10.3788/YJYXS20173206.0474

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基于遗传-超混沌的数字图像加密算法设计

图像处理 | 更新时间：2020-07-07

- 基于遗传-超混沌的数字图像加密算法设计
- Digital image encryption algorithm design based on Genetic-hyperchaos
- 液晶与显示 2017年32卷第6期页码：474-481
- 作者机构：
  
  北京科技大学天津学院, 天津 301830
- 作者简介：
  
  [ "杨娜(1982-), 女, 天津宝坻人, 硕士, 讲师, 主要从事图像处理及模式识别方面的研究。Email:271007963@qq.com" ]
- 基金信息：
  
  国家自然科学基金(61272506);National Natural Science Foundation of China(61272506)
- DOI：10.3788/YJYXS20173206.0474
  中图分类号： TN911.73
- 收稿日期：2017-01-09，
  
  录用日期：2017-2-13，
  
  纸质出版日期：2017-06-05
- 稿件说明：
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杨娜. 基于遗传-超混沌的数字图像加密算法设计[J]. 液晶与显示, 2017,32(6):474-481.

Na YANG. Digital image encryption algorithm design based on Genetic-hyperchaos[J]. Chinese journal of liquid crystals and displays, 2017, 32(6): 474-481.
杨娜. 基于遗传-超混沌的数字图像加密算法设计[J]. 液晶与显示, 2017,32(6):474-481. DOI： 10.3788/YJYXS20173206.0474.

Na YANG. Digital image encryption algorithm design based on Genetic-hyperchaos[J]. Chinese journal of liquid crystals and displays, 2017, 32(6): 474-481. DOI： 10.3788/YJYXS20173206.0474.

摘要

针对当前置乱-扩散图像加密算法在像素位置置乱过程中存在容易遭受选择明（密）文攻击问题，尝试利用混沌理论产生随机序列，再进行加密，加密过程中涉及的参数通过遗传寻优得到。此算法引入明文反馈机制到图像置乱过程中，使得置乱效果不仅与混沌初始序列有关，而且与明文本身也密切相关，实现了图像特性与加密算法的有机融合。而通过在扩散加密过程中引入了明文反馈机制，来提高算法对明文的敏感性和算法的抗选择明文及密文攻击性能，有效融合了图像的特征信息进行加密算法设计，使得加密算法某种程度上具有数据驱动特性。最后，通过实验和相关分析表明，该算法不仅可以有效抵御选择明文攻击、抵抗统计攻击及信息熵攻击，而且还有效提高了图像加密效率，实现图像安全传输。

Abstract

In view of the present chaotic image encryption algorithm based on scrambling-diffusion

it exists in the process of pixel position scrambling vulnerable to choose plaintext (ciphertext) attack

we put forward a image encryption algorithm based on genetic-super chaotic. This algorithm introduces the explicit feedback mechanism to the image scrambling process. Its scrambling effect is not only related to the initial sequence of chaos

but also closely related to the plaintext itself. Therefore

it implements the organic integration of image characteristics and encryption algorithms. In this paper

we add the explicit feedback mechanism in the process of diffusion encryption

which improves the sensitivity of the algorithm to plaintext

and it improves the anti-selection plaintext and ciphertext attack performance. So

it uses the feature information of the image to encrypt

it also has data-driven features. Finally

experimental simulation and theoretical analysis show that our proposed algorithm can not only effectively resist choose plaintext (ciphertext) attack and statistical attack resistance and information entropy attack

but also effectively improve the efficiency of image encryption. It is a relatively secure and effective way of image communication.

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references

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