A Novel RGB color plane chaotic scrambling-based image encryption algorithm
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Keywords:
Image Encryption, Chaos Theory, Random Number, Color Plane Scrambling, Chebyshev Chaotic MapAbstract
The 20th century ushered in the digital age, driven by the development and widespread adoption
of information systems. While this digital landscape offers numerous advantages in communication,
information access, and sharing, it has also brought significant concerns regarding the security of digital
data. Encryption stands as the sole defense against unauthorized access to this data, using various
mathematical operations to render it unreadable to unauthorized individuals. However, unlike text data,
image data presents a unique challenge due to the high correlation between pixels. This necessitates the use
of specialized algorithms distinct from standard encryption methods. The two fundamental stages of image
encryption, mixing and diffusion, have been subject to diverse approaches, each with its inherent strengths
and weaknesses. This study proposes a novel approach that merges the mixing and spreading steps of image
encryption algorithms. The proposed method leverages a non-linear chaotic random number generator to
mix the RGB color channels within the image. By combining the spreading phase with the mixing phase,
we achieve a reduction in time complexity. The successful application of the proposed approach is
demonstrated through the presented results.
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References
Alghamdi, Y., Munir, A., & Ahmad, J. (2022). A Lightweight Image Encryption Algorithm Based on Chaotic Map and Random Substitution. Entropy, 24(10), 1344. https://doi.org/10.3390/e24101344
İnce, C., İnce, K., & Hanbay, D. (2024). Novel image pixel scrambling technique for efficient color image encryption in resource-constrained IoT devices. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-18620-2
İNce, K. (2021). Java SecureRandom Kütüphanesi Güvenlik Analizi. European Journal of Science and Technology. https://doi.org/10.31590/ejosat.900956
Ince, K. (2023). Exploring the potential of deep learning and machine learning techniques for randomness analysis to enhance security on IoT. International Journal of Information Security. https://doi.org/10.1007/s10207-023-00783-y
Li, S., Zhao, L., & Yang, N. (2021). Medical Image Encryption Based on 2D Zigzag Confusion and Dynamic Diffusion. Security and Communication Networks, 2021, e6624809. https://doi.org/10.1155/2021/6624809
Liu, L., & Wang, J. (2023). A cluster of 1D quadratic chaotic map and its applications in image encryption. Mathematics and Computers in Simulation, 204, 89–114. https://doi.org/10.1016/j.matcom.2022.07.030
Technology, N. I. of S. and. (2023). Advanced Encryption Standard (AES) (No. Federal Information Processing Standard (FIPS) 197). U.S. Department of Commerce. https://doi.org/10.6028/NIST.FIPS.197-upd1
Wang, Q., Zhang, X., & Zhao, X. (2023). Color image encryption algorithm based on bidirectional spiral transformation and DNA coding. Physica Scripta, 98(2), 025211. https://doi.org/10.1088/1402-4896/acb322
Wang, X., & Chen, X. (2021). An image encryption algorithm based on dynamic row scrambling and Zigzag transformation. Chaos, Solitons & Fractals, 147, 110962. https://doi.org/10.1016/j.chaos.2021.110962
Wu, Y., Noonan, J., & Agaian, S. (2011). NPCR and UACI Randomness Tests for Image Encryption. Retrieved from https://www.semanticscholar.org/paper/NPCR-and-UACI-Randomness-Tests-for-Image-Encryption-Wu-Noonan/2b479abce221135af6065f9f8352e09cbfb5733a
Xie, Z., Sun, J., Tang, Y., Tang, X., Simpson, O., & Sun, Y. (2023). A K-SVD Based Compressive Sensing Method for Visual Chaotic Image Encryption. Mathematics, 11(7), 1658. https://doi.org/10.3390/math11071658
Zhang, T., & Wang, S. (2023). Image encryption scheme based on a controlled zigzag transform and bit-level encryption under the quantum walk. Frontiers in Physics, 10. Retrieved from https://www.frontiersin.org/articles/10.3389/fphy.2022.1097754
Zhang, W., Xu, J., & Zhao, B. (2023). DNA image encryption algorithm based on serrated spiral scrambling and cross bit plane. Journal of King Saud University - Computer and Information Sciences, 35(10), 101858. https://doi.org/10.1016/j.jksuci.2023.101858
Zhang, X., & Liu, M. (2024). Multiple-image encryption algorithm based on the stereo Zigzag transformation. Multimedia Tools and Applications, 83(8), 22701–22726. https://doi.org/10.1007/s11042-023-16404-8
Zhang, X., Liu, M., & Yang, X. (2023). Color Image Encryption Algorithm Based on Cross-Spiral Transformation and Zone Diffusion. Mathematics, 11(14), 3228. https://doi.org/10.3390/math11143228
Zhou, S., Qiu, Y., Qi, G., & Zhang, Y. (2023). A new conservative chaotic system and its application in image encryption. Chaos, Solitons & Fractals, 175, 113909. https://doi.org/10.1016/j.chaos.2023.113909
