Image Encryption and Chaotic Cellular Neural Network

2009 ◽  
pp. 183-213 ◽  
Author(s):  
Jun Peng ◽  
Du Zhang
Keyword(s):  
Neural Network ◽  
Image Encryption ◽  
Cellular Neural Network

scholarly journals A Novel Plaintext-Related Color Image Encryption Scheme Based on Cellular Neural Network and Chen’s Chaotic System

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 393
Author(s):  
Renxiu Zhang ◽  
Longfei Yu ◽  
Donghua Jiang ◽  
Wei Ding ◽  
Jian Song ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Encryption ◽  
Chaotic System ◽  
Color Image ◽  
State Of The Art ◽  
Cellular Neural Network ◽  
Switching Function ◽  
Encryption Scheme ◽  
Color Image Encryption ◽  
Extensive Performance

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.

Image Encryption Scheme Based on Dual Hyper-Chaotic Recurrent Neural Networks

2011 ◽  
Vol 474-476 ◽  
pp. 599-604
Author(s):  
En Zeng Dong ◽  
Yang Du ◽  
Cheng Cheng Li ◽  
Zai Ping Chen
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Image Encryption ◽  
Recurrent Neural Networks ◽  
Dynamical Behavior ◽  
Security Analysis ◽  
Hopfield Neural Network ◽  
Cellular Neural Network ◽  
Encryption Scheme ◽  
Secret Key

Based on two hyper-chaotic recurrent neural networks, a new image encryption scheme is presented in this paper. In the encryption scheme, the shuffling matrix is generated by using a Hopfield neural network, which is used to shuffle the pixels location; the diffusing matrix is generated by using a cellular neural network, which is used to diffuse the pixels grey value by OXRoperation. Finally, through numerical simulation and security analysis, the effectiveness of the encryption scheme is verified. Duo to the complex dynamical behavior of the hyper-chaotic systems, the encryption scheme has the advantage of large secret key space and high security, and can resist brute-force attacks and statistical attacks effectively.

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