A Novel Image Encryption Scheme Based on PWLCM and Standard Map
| Autor: | Zongxiang Yi, Yucheng Chen, Chunming Tang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Multidisciplinary
General Computer Science Article Subject business.industry Computer science Chaotic QA75.5-76.95 02 engineering and technology Standard map Encryption 01 natural sciences Scrambling Image (mathematics) Electronic computers. Computer science 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Sensitivity (control systems) business 010301 acoustics Algorithm Computer Science::Cryptography and Security |
| Zdroj: | Complexity, Vol 2020 (2020) |
| ISSN: | 1076-2787 |
| DOI: | 10.1155/2020/3026972 |
| Popis: | In the past decades, considerable attention has been paid to the chaos-based image encryption schemes owing to their characteristics such as extreme sensitivity to initial conditions and parameters, pseudo-randomness, and unpredictability. However, some schemes have been proven to be insecure due to using a single chaotic system. To increase the security, this work proposes a novel image encryption scheme based on the piecewise linear chaotic map (PWLCM) and the standard map. To the best of our knowledge, it is the first chaos-based image encryption scheme combining the PWLCM with the standard map, which adopts permutation-diffusion structure. Unlike the traditional scrambling way, a hierarchical diffusion strategy, which not only changes the pixel position but also modifies the value, is employed in the permutation phase. The operation model of row-by-row and column-by-column is further used to enhance the efficiency in the diffusion process. Consequently, a good trade-off efficiency and security can be achieved. Furthermore, the numerical simulations and performance analyses illustrate that the proposed encryption scheme can be used in practical application scenarios requiring lightweight security. |
| Databáze: | OpenAIRE |
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