scholarly journals A novel double-image encryption algorithm based on Rossler hyperchaotic system and compressive sensing

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Wei Huang ◽  
Donghua Jiang ◽  
Yisheng An ◽  
Lidong Liu ◽  
Xingyuan Wang
2021 ◽  
Vol 31 (02) ◽  
pp. 2150021
Author(s):  
Wang Xiao-Qing ◽  
Zhang Hao ◽  
Sun Yu-Jie ◽  
Wang Xing-Yuan

In this paper, an image encryption algorithm based on compressive sensing (CS) and a hyperchaotic system is proposed. This new two-dimensional logical coupling sine chaotic map (2D-LCSCM) has a wider range of chaos, better ergodicity and hyperchaotic properties rather than for existing chaotic maps. By combining with the novel chaotic map and CS, we design an image compression encryption algorithm with good reconstruction accuracy and high security. In the substitution phase of the encryption process, the security performance of the algorithm is improved by the nonlinear transformation of the dynamic substitution box (S-box) and the linear transformation of the chaotic sequences. The performance analyses of the experimental results show that the proposed algorithm can resist various attacks and is highly secure.


2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Xuncai Zhang ◽  
Lingfei Wang ◽  
Ying Niu ◽  
Guangzhao Cui ◽  
Shengtao Geng

In this paper, an image encryption algorithm based on the H-fractal and dynamic self-invertible matrix is proposed. The H-fractal diffusion encryption method is firstly used in this encryption algorithm. This method crosses the pixels at both ends of the H-fractal, and it can enrich the means of pixel diffusion. The encryption algorithm we propose uses the Lorenz hyperchaotic system to generate pseudorandom sequences for pixel location scrambling and self-invertible matrix construction to scramble and diffuse images. To link the cipher image with the original image, the initial values of the Lorenz hyperchaotic system are determined using the original image, and it can enhance the security of the encryption algorithm. The security analysis shows that this algorithm is easy to implement. It has a large key space and strong key sensitivity and can effectively resist plaintext attacks.


2020 ◽  
Vol 69 (4) ◽  
pp. 040502
Author(s):  
Zhi-Ben Zhuang ◽  
Jun Li ◽  
Jing-Yi Liu ◽  
Shi-Qiang Chen

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Shu-ying Wang ◽  
Jian-feng Zhao ◽  
Xiao-yan Wang ◽  
Li-tao Zhang

Based on the Adomian decomposition method and Lyapunov stability theory, this paper constructs a fractional-order memristive hyperchaos. Then, the 0–1 test analysis is applied to detect random nature of chaotic sequences exhibited by the fractional-order systems. Comparing with the corresponding integer-order hyperchaotic system, the fractional-order hyperchaos possesses higher complexity. Finally, an image encryption algorithm is proposed based on the fractional-order memristive hyperchaos. Security and performance analysis indicates that the proposed chaos-based image encryption algorithm is highly resistant to statistical attacks.


2021 ◽  
Vol 152 ◽  
pp. 111318
Author(s):  
Zhenlong Man ◽  
Jinqing Li ◽  
Xiaoqiang Di ◽  
Yaohui Sheng ◽  
Zefei Liu

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