Name
Abstract | ||
|---|---|---|
In this paper, the initial conditions of an intertwining logistic map are generated by utilizing the memetic differential evolution. Initially, the color image is decomposed into red, green, and blue channels. Arnold map is used to shuffle the pixels position of all three channels to develop the shuffled channels. Afterward, memetic differential evolution is implemented to optimize the parameters required by intertwining logistic map. The correlation coefficient and entropy are used as a fitness function. The intertwining map generates the secret keys to encrypt the shuffled color channels. The encrypted color channels are combined to obtain the encrypted image. Extensive experiments are carried out by considering the memetic differential evolution-based image encryption and existing competitive image encryption approaches over five benchmark images. Experimental results show that the proposed approach provides higher efficiency and security as compared to the existing image encryption approaches. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s00521-018-3642-7 | Neural Computing and Applications |
Keywords | Field | DocType |
Image encryption, Arnold transform, Intertwining logistic map, Memetic differential evolution | Algorithm,Communication channel,Logistic map,Encryption,Differential evolution,Fitness function,Artificial intelligence,Pixel,Machine learning,Mathematics,Channel (digital image),Color image | Journal |
Volume | Issue | ISSN |
31.0 | 11 | 1433-3058 |
Citations | PageRank | References |
1 | 0.35 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manjit Kaur | 1 | 23 | 8.41 |
| Vijay Kumar | 2 | 229 | 21.59 |
| Li Li | 3 | 21 | 1.69 |