.png){kind=icon}
返回
Image encryption using genetic operators and intertwining logistic map
.png){kind=icon}
PRE
AI
DOI：10.1007/s11071-014-1639-z.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we try to propose a new Selection-Crossover-Mutation architecture which is based on the modern cryptography from the aspect of genetic mechanisms, mainly draws on the design of the genetic operators. The intertwining logistic map has been used to generate the chaotic sequences owing to its advantages. We take each pixel as an individual, each bit of it as a gene, first, the Selection phrase, use Monte Carlo method to randomly select two individuals according to the chaotic sequences, cross them, swap their genes using the specified crossover operator in the second phrase, and then finally, change the genes of the individuals randomly for the mutation phrase. Experiments and security analysis show that the indicators of the algorithm are good and can resist common kinds of attacks.
Keyword:
Image encryption
Intertwining chaotic map
Genetic operators
Selection-crossover-mutation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
1.4W
被引数:
4.1W
机构
引用论文
Has spinocerebellar ataxia type 2 a distinct phenotype? Genetic and clinical study of an Italian family.png)
Neurology
NeurologyIF0
PREAI
分享收藏
分享收藏
Optical Image Encryption Based on Chaotic Baker Map and Double Random Phase Encoding基于混沌Baker映射和双随机相位编码的光学图像加密
PREAI
分享收藏分享收藏On the exponential synchronization of stochastic impulsive chaotic delayed neural networksNEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏
查看更多内容