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Multi-layer and multi-directional image encryption algorithm based on hyperchaotic 3D Xin-She Yang map
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DOI：10.1016/j.eswa.2025.130808.png)
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摘要
En 中文
With the rapid growth of multimedia transmission, image encryption (IE) has become an essential component of modern secure communication systems. However, many conventional chaos-based encryption algorithms often suffer from a limited key space and insufficient diffusion capability, having security risks to highly correlated image. To address these critical challenges and enhance cryptographic strength, this study proposes a 3D hyperchaotic system-driven Multi-Layer Multi-Directional IE (MLMD-IE) algorithm. The MLMD-IE algorithm is driven by a newly developed hyperchaotic three-dimensional Xin-She Yang (3D-XSY) map. The 3D-XSY map, constructed by hybridizing three nonlinear optimization functions, enhances entropy and unpredictability through exponential modulation and sinusoidal coupling. The MLMD-IE algorithm integrates hexadecimaldomain permutation with four-layer, four-directional diffusion, providing strong pixel decorrelation and high randomness. Experimental results show that the scheme achieves high entropy, low correlation, and robustness against noise and cropping attacks while maintaining superior decryption quality compared with existing methods. These findings demonstrate that the proposed MLMD-IE framework offers a highly efficient and secure solution for contemporary image encryption applications.
Keyword:
Image Encryption
Chaos
Three-dimensional chaotic map
Xin-She Yang (XSY) map
Hyperchaotic map
Multi-layer
Multi-dimension
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
Bao, H.; Fan, J.; Hua, Z.; Xu, Q.; Bao, B. Discrete Memristive Hopfield Neural Network and Application in Memristor-State-Based Encryption. IEEE Internet Things J. 2025, 12, 31843–31855. [Google Scholar] [CrossRef]包, H.; 范, J.; 华, Z.; 徐, Q.; 包, B. 离散忆阻器霍普菲尔德神经网络及其在基于忆阻器状态加密中的应用. IEEE 物联网杂志. 2025, 12, 31843–31855. [Google Scholar] [CrossRef].png)
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