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

Abstract

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.

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

“…The application of chaotic neural networks has been of interest to the research community in recent years [263,264]. Different types of neural networks including the Once Forward-Long Short-Term Memory Structure (OF-LSTMS) [265], Hopefield neural networks [266], and cellular neural networks [267] have been used in this area. Moreover different chaotic maps [267] and sequences [265] have been examined in research in this area.…”

A Chaotic Quadratic Oscillator with Only Squared Terms: Multistability, Impulsive Control, and Circuit Design

“…A chaotic encryption method and its application in the internet of things were studied in [22]. A plain-text-related image encryption method using Chen oscillator was proposed in [23].…”

Creation of S-Box based One-Dimensional Chaotic Logistic Map: Colour Image Encryption Approach

“…In recent years, the majority of studies have focused on gray and colour images Colour images contain more information than gray images and are therefore more attractive [3]. Many researchers have introduced several techniques to protect colour images, such as hyper chaos and Genetic Codes [4], Rubik's Cube [5], DNA [6], henon-zigzag map [7], Cellular Neural Network [8], genetic algorithm and matrix semitensor product [9], Lorenz equation and Gingerbreadman chaotic map [10], chaotic cipher [11], amplitude-phase encoding and discrete complex random transformation [12], mixed hash functions and cyclic shift [13] and chaos-based probabilistic symmetric encryption [14]. DES and AES are also used to encrypt images as modern cryptographic algorithms [15], but they are not appropriate for images due to the image's physical properties such as large data, robust correlations between pixels, and high redundancy.…”