A novel colour image encryption based on fractional order Lorenz system
A colour image encryption algorithm based on fractional Lorenz system has been developed in this paper. Firstly, the colour image has been divided into three layers: R, G, and B, and Arnold map has been used for scrambling the three layers separately, and the plaintext pixel has been selected as the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-05-01
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| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21642583.2020.1852624 |
| _version_ | 1818778756316135424 |
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| author | Shixu Li Yongjin Yu Xingquan Ji Qi Sun |
| author_facet | Shixu Li Yongjin Yu Xingquan Ji Qi Sun |
| author_sort | Shixu Li |
| collection | DOAJ |
| description | A colour image encryption algorithm based on fractional Lorenz system has been developed in this paper. Firstly, the colour image has been divided into three layers: R, G, and B, and Arnold map has been used for scrambling the three layers separately, and the plaintext pixel has been selected as the scrambling parameter. The Tent map has been used to associate the plain text to generate the initial values of the fractional Lorenz system, which has been iterated by the system to generate a pseudo-random sequence that can be used for two pixel diffusions. The first pixel diffusion is to diffuse the pixels of each layer to the other two layers, and the second pixel diffusion is to add modulus diffusion inside the layer. Simulation results illustrate that the plaintext image is encrypted into a meaningless noise image. The superior performance of proposed algorithm has been proved by the key space analysis, histogram analysis, correlation test, sensitivity analysis and information entropy analysis, and it can resist various common attack methods. |
| first_indexed | 2024-12-18T11:49:47Z |
| format | Article |
| id | doaj.art-a032cf5c5b4d479c9fc80eb99150727d |
| institution | Directory Open Access Journal |
| issn | 2164-2583 |
| language | English |
| last_indexed | 2024-12-18T11:49:47Z |
| publishDate | 2021-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Systems Science & Control Engineering |
| spelling | doaj.art-a032cf5c5b4d479c9fc80eb99150727d2022-12-21T21:09:12ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832021-05-019S214115010.1080/21642583.2020.18526241852624A novel colour image encryption based on fractional order Lorenz systemShixu Li0Yongjin Yu1Xingquan Ji2Qi Sun3College of Electrical Engineering and Automation, Shandong University of Science and Technology, People’s Republic of ChinaCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, People’s Republic of ChinaCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, People’s Republic of ChinaCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, People’s Republic of ChinaA colour image encryption algorithm based on fractional Lorenz system has been developed in this paper. Firstly, the colour image has been divided into three layers: R, G, and B, and Arnold map has been used for scrambling the three layers separately, and the plaintext pixel has been selected as the scrambling parameter. The Tent map has been used to associate the plain text to generate the initial values of the fractional Lorenz system, which has been iterated by the system to generate a pseudo-random sequence that can be used for two pixel diffusions. The first pixel diffusion is to diffuse the pixels of each layer to the other two layers, and the second pixel diffusion is to add modulus diffusion inside the layer. Simulation results illustrate that the plaintext image is encrypted into a meaningless noise image. The superior performance of proposed algorithm has been proved by the key space analysis, histogram analysis, correlation test, sensitivity analysis and information entropy analysis, and it can resist various common attack methods.http://dx.doi.org/10.1080/21642583.2020.1852624rgb image encryptionfractional order lorenz systemcross diffusionarnold maptent map |
| spellingShingle | Shixu Li Yongjin Yu Xingquan Ji Qi Sun A novel colour image encryption based on fractional order Lorenz system Systems Science & Control Engineering rgb image encryption fractional order lorenz system cross diffusion arnold map tent map |
| title | A novel colour image encryption based on fractional order Lorenz system |
| title_full | A novel colour image encryption based on fractional order Lorenz system |
| title_fullStr | A novel colour image encryption based on fractional order Lorenz system |
| title_full_unstemmed | A novel colour image encryption based on fractional order Lorenz system |
| title_short | A novel colour image encryption based on fractional order Lorenz system |
| title_sort | novel colour image encryption based on fractional order lorenz system |
| topic | rgb image encryption fractional order lorenz system cross diffusion arnold map tent map |
| url | http://dx.doi.org/10.1080/21642583.2020.1852624 |
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