Image encryption algorithm based on four-dimensional memristor hyperchaotic system and parallel compressive sensing
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11071-024-10054-7.pdf
Reference36 articles.
1. Wu, Y.G., Khisti, A., Xiao, C.S., Caire, G., Wong, K.K., Gao, X.Q.: A survey of physical layer security techniques for 5g wireless networks and challenges ahead. IEEE. J. Sel. Area. Comm. 36, 679–695 (2018). https://doi.org/10.1109/JSAC.2018.2825560
2. Zhu, L.Y., Jiang, D.H., Ni, J.G., Wang, X.Y., Rong, X.W., Ahmad, M.: A visually secure image encryption scheme using adaptive-thresholding sparsification compression sensing model and newly-designed memristive chaotic map. Inf. Sci. 607, 1001–1022 (2022). https://doi.org/10.1016/j.ins.2022.06.011
3. Wang, X.L., Teng, L., Jiang, D.H., Leng, Z.Y., Wang, X.Y.: Triple-image visually secure encryption scheme based on newly designed chaotic map and parallel compressive sensing. Euro. Phys. J. 138, 156 (2023). https://doi.org/10.1140/epjp/s13360-023-03755-2
4. Wang, X.Y., Liu, C., Jiang, D.H.: A novel visually meaningful image encryption algorithm based on parallel compressive sensing and adaptive embedding. Expert Syst. Appl. 209, 118426 (2022). https://doi.org/10.1016/j.eswa.2022.118426
5. Zou, M.L., Liu, Z.X., Chen, X.Y.: A meaningful image encryption algorithm based on prediction error and wavelet transform. J. Big. Data. 1, 151 (2019). https://doi.org/10.32604/jbd.2019.09057
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