An Efficient Image Encryption Method Using Henon-Logistic-Tent Chaotic Pseudo Random Number Sequence
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Funder
NOT APPLICABLE
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10261-2.pdf
Reference26 articles.
1. Hua, Z., Xu, B., Jin, F., & Huang, H. (2019). Image encryption using Josephus problem and filtering diffusion. IEEE Access, 7, 8660–8674. https://doi.org/10.1109/ACCESS.2018.2890116
2. Niu, Y., Zhou, Z., & Zhang, X. (2020). An image encryption approach based on chaotic maps and genetic operations. Multimedia Tools and Applications, 79(35), 25613–25633. https://doi.org/10.1007/s11042-020-09237-2
3. Nardo, L. G., Nepomuceno, E. G., Arias-Garcia, J., & Butusov, D. N. (2019). Image encryption using finite-precision error. Chaos, Solitons and Fractals, 123, 69–78. https://doi.org/10.1016/j.chaos.2019.03.026
4. Zhu, C., & Sun, K. (2018). Cryptanalyzing and improving a novel color image encryption algorithm using RT-enhanced chaotic tent maps. IEEE Access, 6, 18759–18770. https://doi.org/10.1109/ACCESS.2018.2817600
5. Wu, J., Liao, X., & Yang, B. (2018). Image encryption using 2D Hènon-Sine map and DNA approach. Signal Processing, 153, 11–23.
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