Enhanced Color Image Encryption Using Hybrid Chaotic Systems, Dynamic S-Box, and Compressed Sensing.
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| Title: | Enhanced Color Image Encryption Using Hybrid Chaotic Systems, Dynamic S-Box, and Compressed Sensing. |
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| Authors: | Yang, Zhi1 yang2526zhi@qq.com, Zhang, Zhao2 zhangzhao333@hotmail.com, Zhou, Hongyan3 zhou321yan@163.com, Chen, Xue-Bo1,4 xuebochen@126.com |
| Source: | Engineering Letters. Jun2026, Vol. 34 Issue 6, p2426-2436. 11p. |
| Subjects: | Image encryption, Compressed sensing, Chaos theory, Logistic maps (Mathematics), Lorenz equations |
| Abstract: | This paper introduces a novel image encryption algorithm that integrates the one-dimensional Logistic chaotic system, the three-dimensional Lorenz chaotic system, compressed sensing (CS), and a dynamic S-box. Initially, the Arnold transform is applied to scramble the pixel positions of the color image, thereby increasing its complexity. Subsequently, compressed sensing technology is utilized for the first-stage encryption, achieving simultaneous measurement and compression. A hybrid chaotic sequence, generated by combining the one-dimensional Logistic chaotic map and the threedimensional Lorenz chaotic system, is then used to construct a dynamic S-box, which performs secondary encryption on the image data. This approach not only enhances encryption security but also significantly reduces storage and transmission requirements. Experimental results show that the proposed method achieves a high entropy value of 7.9991 bits per pixel, a peak signal-to-noise ratio (PSNR) of up to 40.743 dB, and a structural similarity index (SSIM) close to 1, demonstrating its effectiveness in preserving image quality while providing robust encryption. This work presents a promising solution for securing image data in various applications, including those in the military and medical industries. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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