摘要
为提高图像加密算法抵御穷举攻击、统计分析攻击及差分攻击的能力,提出了一种改进的基于混沌的分块图像加密算法,并用于矩形灰度图像加密。该算法通过对外部密钥分组生成Logistic映射初始条件并迭代生成混沌序列,有效增强了密钥的敏感性。提出三向散布并结合像素值替代算法能够明显增强算法抵御差分攻击的能力;同时为增强算法的鲁棒性,采用反馈机制修改密钥。实验结果表明,该算法较二维混沌图像加密具有更高置乱度,且能够有效抵御穷举攻击、统计分析攻击及差分攻击。
In order to improve image encryption algorithm resistance ability to exaustive attack,statistical attack and differential attack,this paper put forward a modified block encryption algorithm based on chaos,and applied it to rectangle image encryption.This algorithm generated Logistic initial condition by block external keys and chaotic sequence iterately for strengthening the sensitivity of keys.It proposed three-direction dispersion combined with pixel value substitution algorithm to increase the resistance ability to differential attack obviously.Meanwhile,it used feedback mechanism to modify keys.The results show that it not only has higher scrambling degree than two-dimensional chaotic system of image encryption,but also resists exaustive attack,statistical attack and differential attack effectively.
出处
《计算机应用研究》
CSCD
北大核心
2013年第1期282-284,共3页
Application Research of Computers
基金
国家青年科学基金资助项目(61003162)
关键词
分组密码
混沌序列
差分攻击
三向散布
图像加密
block cipher
chaotic sequence
differential attack
three-direction dispersion
image encryption
