A secure communication scheme based on cellular neural network

2002 ◽  
Author(s):  
Zhang Yifeng ◽  
He Zhengya
Keyword(s):  
Neural Network ◽  
Secure Communication ◽  
Cellular Neural Network ◽  
Communication Scheme

A SC–CNN-BASED CHAOTIC MASKING SYSTEM WITH FEEDBACK

2004 ◽  
Vol 14 (01) ◽  
pp. 245-256 ◽  
Author(s):  
RECAI KILIÇ ◽  
MUSTAFA ALÇI ◽  
ENIS GÜNAY
Keyword(s):  
Neural Network ◽  
Secure Communication ◽  
Spectral Characteristics ◽  
Cellular Neural Network ◽  
Simulation Experiments ◽  
Information Signal ◽  
Wide Range ◽  
Feedback Algorithm ◽  
Feedback Connections ◽  
Secure Transmission

A secure transmission application of the State Controlled Cellular Neural Network (SC–CNN)-based circuit is presented. Since the SC–CNN-based circuit has feedback connections between the cells, it is potentially very suitable for realizing a chaotic masking system with feedback algorithm. So, we have constructed a chaotic masking system with feedback using the SC–CNN-based circuit. PSpice simulation experiments verify that the proposed SC–CNN-based secure communication system exhibits a good performance for a wide range of amplitude and spectral characteristics of the information signal.

A GENERALIZED SYNCHRONIZATION THEOREM FOR AN ARRAY OF DIFFERENTIAL EQUATIONS WITH APPLICATION TO SECURE COMMUNICATION

2005 ◽  
Vol 15 (01) ◽  
pp. 119-135 ◽  
Author(s):  
LEQUAN MIN ◽  
XIAODAN ZHANG ◽  
GUANRONG CHEN
Keyword(s):  
Differential Equations ◽  
Secure Communication ◽  
Reaction Diffusion ◽  
Cellular Neural Network ◽  
Two Dimensional ◽  
Generalized Synchronization ◽  
Image Transformation ◽  
Image Communication ◽  
Driven System ◽  
Communication Scheme

This paper first presents a theorem for constructing a unidirectionally coupled array of differential equations (ADE) such that a driving system and a driven system achieve generalized synchronization (GS) via a set of invertible C1-diffeomorphism transformations. Secondly, a new secure communication scheme for digital image transformation is developed based on the theorem. Finally, a Chua's ADE with GS property is introduced, based on a prototype introduced by Chua as a two-dimensional dual-layer two-dimensional reaction–diffusion cellular neural network (CNN), and is applied to construct a secure image communication scheme.

scholarly journals A Security-Enhanced Image Communication Scheme Using Cellular Neural Network

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 1000
Author(s):  
Heping Wen ◽  
Jiajun Xu ◽  
Yunlong Liao ◽  
Ruiting Chen ◽  
Danze Shen ◽  
...  
Keyword(s):  
Neural Network ◽  
Cellular Neural Network ◽  
Development Trend ◽  
Security Technology ◽  
Pseudorandom Sequences ◽  
Image Communication ◽  
Image Cipher ◽  
Plain Image ◽  
Communication Scheme ◽  
Data Environment

In the current network and big data environment, the secure transmission of digital images is facing huge challenges. The use of some methodologies in artificial intelligence to enhance its security is extremely cutting-edge and also a development trend. To this end, this paper proposes a security-enhanced image communication scheme based on cellular neural network (CNN) under cryptanalysis. First, the complex characteristics of CNN are used to create pseudorandom sequences for image encryption. Then, a plain image is sequentially confused, permuted and diffused to get the cipher image by these CNN-based sequences. Based on cryptanalysis theory, a security-enhanced algorithm structure and relevant steps are detailed. Theoretical analysis and experimental results both demonstrate its safety performance. Moreover, the structure of image cipher can effectively resist various common attacks in cryptography. Therefore, the image communication scheme based on CNN proposed in this paper is a competitive security technology method.

Optimizing Time-multiplexing Raster Cellular Neural Network simulator using genetic algorithms with RK8(6)

2011 ◽  
Vol 3 (6) ◽  
pp. 87-90
Author(s):  
O. H. Abdelwahed O. H. Abdelwahed ◽  
◽  
M. El-Sayed Wahed ◽  
O. Mohamed Eldaken
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Cellular Neural Network ◽  
Network Simulator
Sign in / Sign up

Export Citation Format

Share Document