A novel multi-layer image encryption algorithm based on 2D drop-wave function
Author:
Funder
Chongqing Natural Science Foundation
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11071-024-10268-9.pdf
Reference54 articles.
1. Zhou, C., Wang, C., Yao, W., Lin, H.: Observer-based synchronization of memristive neural networks under DoS attacks and actuator saturation and its application to image encryption. Appl. Math. Comput. 425, 127080 (2022). https://doi.org/10.1016/j.amc.2022.127080
2. Zhang, R., Zhang, Y., Nan, Y., et al.: Primitively visually meaningful image encryption: a new paradigm. Inf. Sci. 613, 628–648 (2022). https://doi.org/10.1016/j.ins.2022.08.027
3. Lai, Q., Hu, G., Erkan, U., Toktas, A.: High-efficiency medical image encryption method based on 2D Logistic-Gaussian hyperchaotic map. Appl. Math. Comput. 442, 127738 (2023). https://doi.org/10.1016/j.amc.2022.127738
4. Guo, Z., Chen, S.H., Zhou, L., et al.: Optical image encryption and authentication scheme with computational ghost imaging. Appl. Math. Model. 131, 49–66 (2024). https://doi.org/10.1016/j.apm.2024.04.012
5. Zhou, N.R., Hu, L.L., Huang, Z.W., et al.: Novel multiple color images encryption and decryption scheme based on a bit-level extension algorithm. Expert Syst. Appl. 238, 122052 (2024). https://doi.org/10.1016/j.eswa.2023.122052
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