A new fast color image encryption scheme using chen chaotic system

Author(s):  
Chong Fu ◽  
Zhou-feng Chen ◽  
Wei Zhao ◽  
Hui-yan Jiang
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 47102-47111 ◽  
Author(s):  
Ming Li ◽  
Dandan Lu ◽  
Wenying Wen ◽  
Hua Ren ◽  
Yushu Zhang

Optik ◽  
2017 ◽  
Vol 129 ◽  
pp. 231-238 ◽  
Author(s):  
Abdurahman Kadir ◽  
Mireguli Aili ◽  
Mutallip Sattar

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 393
Author(s):  
Renxiu Zhang ◽  
Longfei Yu ◽  
Donghua Jiang ◽  
Wei Ding ◽  
Jian Song ◽  
...  

To address the problem that traditional stream ciphers are not sensitive to changes in the plaintext, a novel plaintext-related color image encryption scheme is proposed in this paper, which combines the 6-dimensional cellular neural network (CNN) and Chen’s chaotic system. This encryption scheme belongs to symmetric cryptography. In the proposed scheme, the initial key and switching function generated by the plaintext image are first utilized to control the CNN to complete the scrambling process. Then, Chen’s chaotic system is used to diffuse the scrambled image for realizing higher security. Finally, extensive performance evaluation is undertaken to validate the proposed scheme’s ability to offer the necessary security. Furthermore, the scheme is compared alongside state-of-the-art algorithms to establish its efficiency.


2021 ◽  
Vol 31 (09) ◽  
pp. 2150125
Author(s):  
Shanshan Cheng ◽  
Jingru Sun ◽  
Cong Xu

As image is an important way of information representation, researchers pay more and more attention on image encryption. In order to improve the performance of image encryption, a novel image encryption scheme based on a hybrid cascaded chaotic system and sectoral segmentation is proposed in this paper. Hybrid cascaded chaotic system has a larger key space, higher complexity, more sensitivity to initial conditions. Four chaotic sequences relevant to a plain image are generated by this system, which strengthen plaintext correlation and the randomness. During the scrambling process, sectoral segmentation focuses on how to extract a sequence from the disk storing data, which can not only reduce the correlation between the three components of the image, but also hide image information to a large extent. Further, a DNA algorithm is used in the diffusion process. Simulation shows that the proposed scheme can effectively resist various attacks and improve the encryption performance.


2021 ◽  
Vol 104 (1) ◽  
pp. 003685042110033
Author(s):  
Javad Mostafaee ◽  
Saleh Mobayen ◽  
Behrouz Vaseghi ◽  
Mohammad Vahedi ◽  
Afef Fekih

This paper proposes a novel exponential hyper–chaotic system with complex dynamic behaviors. It also analyzes the chaotic attractor, bifurcation diagram, equilibrium points, Poincare map, Kaplan–Yorke dimension, and Lyapunov exponent behaviors. A fast terminal sliding mode control scheme is then designed to ensure the fast synchronization and stability of the new exponential hyper–chaotic system. Stability analysis was performed using the Lyapunov stability theory. One of the main features of the proposed controller is the finite time stability of the terminal sliding surface designed with high–order power function of error and derivative of error. The approach was implemented for image cryptosystem. Color image encryption was carried out to confirm the performance of the new hyper–chaotic system. For image encryption, the DNA encryption-based RGB algorithm was used. Performance assessment of the proposed approach confirmed the ability of the proposed hyper–chaotic system to increase the security of image encryption.


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