An image encryption algorithm based on 3D cellular automata and chaotic maps

2015 ◽  
Vol 26 (01) ◽  
pp. 1450069 ◽  
Author(s):  
A. Martín Del Rey ◽  
G. Rodríguez Sánchez
Keyword(s):  
Cellular Automata ◽  
Image Encryption ◽  
Digital Image ◽  
Chaotic Maps ◽  
Three Dimensional ◽  
Encryption Algorithm ◽  
Diffusion Phase ◽  
Two Phases ◽  
Encryption Method ◽  
Image Encryption Algorithm

A novel encryption algorithm to cipher digital images is presented in this work. The digital image is rendering into a three-dimensional (3D) lattice and the protocol consists of two phases: the confusion phase where 24 chaotic Cat maps are applied and the diffusion phase where a 3D cellular automata is evolved. The encryption method is shown to be secure against the most important cryptanalytic attacks.

The Image Encryption Scheme Based on the Generalized First-Order Directional Derivative Transformation

2010 ◽  
Vol 40-41 ◽  
pp. 537-542
Author(s):  
Zong Ying Li
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Directional Derivative ◽  
Three Dimensional ◽  
Encryption Algorithm ◽  
First Order ◽  
Digital Image Encryption ◽  
Arnold Transformation ◽  
Scrambling Encryption ◽  
Image Encryption Algorithm

In order to improve the capability of scrambling encryption and anti-aggressive, we extended the two-dimensional Arnold transformation to three-dimensional, and designed one kind of new diffusion equation of the digital image pixel gray value, then introduced a novel digital image encryption algorithm based on them. The large number of simulation results and analysis have both shown that the proposed scheme is a very effective encryption algorithm.

scholarly journals Image encryption algorithm using chaotic maps and cellular automata

2020 ◽  
Vol 7 (26) ◽  
pp. 170238
Author(s):  
Lanhang Li ◽  
Yuling Luo ◽  
Shubin Tang ◽  
Lvchen Cao ◽  
Xue Ouyang
Keyword(s):  
Cellular Automata ◽  
Image Encryption ◽  
Chaotic Maps ◽  
Encryption Algorithm ◽  
Image Encryption Algorithm

scholarly journals A Symmetric Image Encryption Algorithm Based on a Coupled Logistic–Bernoulli Map and Cellular Automata Diffusion Strategy

Entropy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 504 ◽  
Author(s):  
Wei Zhang ◽  
Zhiliang Zhu ◽  
Hai Yu
Keyword(s):  
Cellular Automata ◽  
Image Encryption ◽  
High Efficiency ◽  
Chaotic Map ◽  
Logistic Map ◽  
Three Dimensional ◽  
Encryption Algorithm ◽  
Original Structure ◽  
One Dimensional ◽  
Image Encryption Algorithm

In this paper, the properties of the classical confusion–substitution structure and some recently proposed pseudorandom number generators using one-dimensional chaotic maps are investigated. To solve the low security problem of the original structure, a new bit-level cellular automata strategy is used to improve the sensitivity to the cryptosystem. We find that the new evolution effects among different generations of cells in cellular automata can significantly improve the diffusion effect. After this, a new one-dimensional chaotic map is proposed, which is constructed by coupling the logistic map and the Bernoulli map (LBM). The new map exhibits a much better random behavior and is more efficient than comparable ones. Due to the favorable properties of the new map and cellular automata algorithm, we propose a new image-encryption algorithm in which three-dimensional bit-level permutation with LBM is employed in the confusion phase. Simulations are carried out, and the results demonstrate the superior security and high efficiency of the proposed scheme.

scholarly journals Adaptive Chaotic Image Encryption Algorithm Based on RNA and Pixel Depth

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1770
Author(s):  
Xiaoqiang Zhang ◽  
Xuangang Yan
Keyword(s):  
Image Encryption ◽  
Three Dimensional ◽  
Encryption Algorithm ◽  
Current Time ◽  
Plain Image ◽  
Scope Of Application ◽  
Selective Diffusion ◽  
Chaotic Image Encryption ◽  
And Diffusion ◽  
Image Encryption Algorithm

To prevent the leakage of image content, image encryption technology has received increasing attention. Most current algorithms are only suitable for the images of certain types and cannot update keys in a timely manner. To tackle such problems, we propose an adaptive chaotic image encryption algorithm based on RNA and pixel depth. Firstly, a novel chaotic system, two-dimensional improved Logistic-adjusted-Sine map is designed. Then, we propose a three-dimensional adaptive Arnold transform for scrambling. Secondly, keys are generated by the hash values of the plain image and current time to achieve one-image, one-key, and one-time pad simultaneously. Thirdly, we build a pre-permuted RNA cube for 3D adaptive scrambling by pixel depth, chaotic sequences, and adaptive RNA coding. Finally, selective diffusion combined with pixel depth and RNA operations is performed, in which the RNA operators are determined by the chemical structure and properties of amino acids. Pixel depth is integrated into the whole procedure of parameter generation, scrambling, and diffusion. Experiments and algorithm analyses show that our algorithm has strong security, desirable performance, and a broader scope of application.

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