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像素交叉移位变换耦合动态和谐搜索优化机制的图像加密算法
引用本文:丁汀,王晓侃,.像素交叉移位变换耦合动态和谐搜索优化机制的图像加密算法[J].华侨大学学报(自然科学版),2017,0(2):229-235.
作者姓名:丁汀  王晓侃  
作者单位:1. 河南机电职业学院 信息工程学院, 河南 新郑 451191;2. 河南机电职业学院 机电工程学院, 河南 新郑 451191;3. 北京交通大学 电子信息工程学院, 北京 100044
摘    要:提出一种像素交叉移位变换耦合动态和谐搜索优化机制的图像加密算法.首先,引入锯齿填充曲线,对明文进行扫描,形成一维像素序列;基于明文像素位置,定义像素交叉移位变换模型,耦合均布Logistic映射输出的密钥,对明文完成高效置乱.然后,定义新的和谐更新模型,以密文信息熵值与相关性为目标函数,改进动态和谐搜索机制,构建像素扩散函数,彻底改变置乱图像的像素值.最后,引入HASH检测函数,赋予算法认证功能.结果表明:与当前混沌加密技术相比,所提算法具有更高的加密安全性和通用性.

关 键 词:图像加密  像素交叉移位变换  锯齿填充曲线  动态和谐搜索  像素搜索变换  HASH检测函数

Image Encryption Algorithm Based on Pixel Cross Shift Transform Coupling Dynamic Harmony Search Optimization Mechanism
DING Ting,WANG Xiaokan,' target="_blank" rel="external">.Image Encryption Algorithm Based on Pixel Cross Shift Transform Coupling Dynamic Harmony Search Optimization Mechanism[J].Journal of Huaqiao University(Natural Science),2017,0(2):229-235.
Authors:DING Ting  WANG Xiaokan  " target="_blank">' target="_blank" rel="external">
Institution:1. College of Information Engineering, Henan Mechanical and Electrical Vocational College, Xinzheng 451191, China; 2. College of Mechanical and Electrical Engineering, Henan Mechanical and Electrical Vocational College, Xinzheng 451191, China; 3. College of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Abstract:The image encryption algorithm based on pixel cross shift transform coupling dynamic harmony search optimization mechanism was proposed in this paper. Firstly, one dimensional pixel sequence was obtained by introducing the saw tooth filling curve to scan the plain; and the plain was permutated by defining the pixel cross shift conversion model based on plain pixel location and coupling the key outputted by Logistic map for enhancing its general performance. Then the dynamic search diffusion model was constructed by the dynamic harmony search mechanism to completely change the pixel value of the permutation image; and finally, the HASH function was introduced to gives the authentication function to this algorithm. Test results show that: this algorithm has higher encryption security and generality compared to the present chaotic encryption technique.
Keywords:image encryption  pixel cross shift transform  saw tooth filling curve  dynamic harmony search  pixel search trsnsform  HASH detection function
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