An image encryption scheme based on double chaotic cyclic shift and Josephus problem
| Autor: | Xue-Feng Duan, Rui Wang, Guo-Qiang Deng |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Sequence
Pixel Computer Networks and Communications Computer science business.industry Chaotic 020206 networking & telecommunications 02 engineering and technology Encryption Image (mathematics) Digital image Permutation 0202 electrical engineering electronic engineering information engineering Josephus problem 020201 artificial intelligence & image processing Safety Risk Reliability and Quality business Algorithm Software Computer Science::Cryptography and Security |
| Zdroj: | Journal of Information Security and Applications. 58:102699 |
| ISSN: | 2214-2126 |
| DOI: | 10.1016/j.jisa.2020.102699 |
| Popis: | In recent years, image encryption has become a very popular and effective method to protect digital images. Among many image encryption methods, the image encryption algorithm based on chaotic map has extensive application and profound theoretical basis. In this paper, a novel image encryption algorithm is proposed by combining chaotic map with Josephus problem. The whole encryption process adopts the classical permutation–diffusion structure. In the permutation process, the double chaotic cycle shift algorithm has been proposed by improving the chaotic shift transform method. In the diffusion stage, we extend the definition of Josephus problem by using chaotic map to preserve the Josephus sequence diversity. We then divide the image into sub-blocks and pick one randomly according to Josephus sequence. Furthermore, we change the pixel values of the image through performing modular addition and XOR operations on the pixels between blocks. Through the above process, we get the image encryption algorithm based on double chaotic cycle shift and Josephus problem (JP-DCCS). In the simulation experiment and security analysis, we compare JP-DCCS with the other advanced image encryption algorithms. The results show that JP-DCCS has better performance and higher security. |
| Databáze: | OpenAIRE |
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