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基于改进Lorenz混沌系统的图像加密新算法

汪彦 涂立

中南大学学报(自然科学版)2017,Vol.48Issue(10):2678-2685,8.
中南大学学报(自然科学版)2017,Vol.48Issue(10):2678-2685,8.DOI:10.11817/j.issn.1672-7207.2017.10.017

基于改进Lorenz混沌系统的图像加密新算法

A new image encryption algorithm based on improved Lorenz chaotic system

汪彦 1涂立2

作者信息

  • 1. 中南大学软件学院,湖南长沙,410083
  • 2. 湖南城市学院信息与电子工程学院,湖南益阳,413000
  • 折叠

摘要

Abstract

In order to improve the security and anti-attack ability of image encryption algorithm, a new image encryption algorithm based on improved Lorenz chaotic system was proposed. Firstly, a nonlinear term in the Lorenz system was replaced by an exponential function term and a two-square term of a single variable. Then, the dynamic characteristics of the improved Lorenz system were analyzed, which proved the chaotic characteristics of the system. Finally, the chaotic map was used to generate two groups of key sequences which were used for scrambling encryption and alternative encryption. In the scrambling encryption stage, the image pixel gray values were arranged in ascending order, and were combined with encryption key sequence to achieve pixel position scrambling. In the replacement encryption stage, the gray values of the pixels were modified by the way of cipher text feedback. The results show that the algorithm can effectively resist chosen plaintext attack, and the encrypted image has random-like distribution behavior of grey values and the adjacent pixels have zero correlation. The algorithm has 192 bit key spaces and it is very sensitive to the key.

关键词

Lorenz系统/图像加密/混沌系统/置乱

Key words

Lorenz system/image encryption/chaotic system/scrambling

分类

信息技术与安全科学

引用本文复制引用

汪彦,涂立..基于改进Lorenz混沌系统的图像加密新算法[J].中南大学学报(自然科学版),2017,48(10):2678-2685,8.

基金项目

湖南省教育厅科研项目(17C0296) (17C0296)

益阳市指导性科技计划项目(20165111)(Project(17C0296) supported by the Scientific Research of Department of Education of Hunan Province (20165111)

Project(20165111) supported by the Guiding Science and Technology Planning of Yiyang City, Hunan Province) (20165111)

中南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1672-7207

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