| Title |
A Colour Image Encryption Using Genetic Operators And Generalized Henon Chaotic Mapping |
| ID_Doc |
714 |
| Authors |
Luo Y.; Ouyang X.; Liu J.; Cao L. |
| Year |
2019 |
| Published |
Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019 |
| DOI |
http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2019.00235 |
| Abstract |
In this paper, a colour image encryption method is proposed on the basis of genetic operators and generalized Henon chaotic mapping. Firstly, the initial values of Henon chaotic mapping are generated based on the plain image. Then, genetic operators are applied for image encryption, which include three operations of selection, crossover, and mutation. The selection operation is performed on the bit-level, which can eliminate the strong correlations between the pixels. The cipher image is finally obtained after crossover and mutation operations. Experimental results show that the proposed method has a large key space, high information entropy, and strong robustness against chosen-plaintext attack, which can be applied for the secure applications. © 2019 IEEE. |
| Author Keywords |
1Security; Chaotic system; Genetic operators; Image encryption |
