摘要
针对传统混沌系统Lyapunov指数低和混沌性差、图像加解密性能不够高的问题,提出了一种改进Feigenbaum混沌方程,与Logistic和sine混沌方程共同构建了一个多混沌新型图像加密系统,并在加密过程中使用多级像素扩散较好地打破了图像像素的关联性,有效提高了图像加密系统的安全性。加解密综合分析与仿真实验表明,在8位灰度图像中该加密方法的信息熵值最高能够达到7.9993,加密后的相关性值最低可达10-3,且能抗多种攻击。
To solve the problem of low Lyapunov exponent,poor chaos of traditional chaotic system,and the low performance of image encryption and decryption,an improved Feigenbaum chaotic equation is proposed.It works with Logistic and sine chaotic equations to build a new multi-chaotic image encryption system.At the same time,the multi-level image diffusion in the encryption process breaks the correlation of image pixels,and effectively improves the security of image encryption system integrity.Through the comprehensive analysis and simulation experiments of encryption and decryption,it is shown that the information entropy value of the encryption method in 8-bit grayscale images can reach a maximum of 7.9993,and the correlation value after encryption can reach 10-3 at least,and it can resist a variety of attacks.
作者
楚春阳
高瑜翔
谢建峰
黄坤超
陈超
CHU Chunyang;GAO Yuxiang;XIE Jianfeng;HUANG Kunchao;CHEN Chao(College of Communication Engineering(College of Microelectronics),Chengdu University of Information Technology,Chengdu 610225,China;Meteorological Information and Signal Processing Key Laboratory of Sichuan Higher Education Institutes,Chengdu 610225,China;Southwest China Institute of Electronic Technology,Chengdu 610036,China;Aviation Military Representation Office of Army Armament Department in Chengdu Region,Chengdu 610036,China)
出处
《电讯技术》
北大核心
2020年第8期955-960,共6页
Telecommunication Engineering
