.png){kind=icon}
.png){kind=icon}
Return
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}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
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.
Keywords:
Image encryption
Intertwining chaotic map
Genetic operators
Selection-crossover-mutation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6
Papers:
1.4W
Citations:
4.1W