A Digital Image Encryption Scheme Based on the Hybrid of Cellular Neural Network and Logistic Map

2005 ◽  
pp. 860-867 ◽  
Author(s):  
Wei Zhang ◽  
Jun Peng ◽  
Huaqian Yang ◽  
Pengcheng Wei
Keyword(s):  
Neural Network ◽  
Image Encryption ◽  
Digital Image ◽  
Logistic Map ◽  
Cellular Neural Network ◽  
Encryption Scheme ◽  
Digital Image Encryption

scholarly journals A Novel Encryption Scheme for Digital Image - Based on One Dimensional Logistic Map

2014 ◽  
Vol 7 (4) ◽  
pp. 65 ◽  
Author(s):  
Obaida M. Al-hazaimeh
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Chaotic Map ◽  
Logistic Map ◽  
Encryption Scheme ◽  
Table Lookup ◽  
One Dimensional ◽  
The Difference ◽  
Digital Image Encryption ◽  
High Level

In this paper, an implementation of digital image encryption scheme based on one dimensional logistic map is proposed. The chaotic cryptography technique concentrates in general on the symmetric key cryptographic technique. In the proposed algorithm, a random key table lookup criterion was combined with a one-dimensional chaotic map were used for high degree 2-stage security image encryption while maintaining acceptable overhead delay time. The proposed algorithm is based on image row shuffling and pixel-wise XOR encryption. To increase the security of row shuffling variable rotation and inversion were applied to each shuffled row, based on the difference between old and new row location. The experimental results showed that the proposed algorithm is effective and applicable. The combination of logistic map and key table lookup shows advantages of large random key space and high-level of security. The resulting cipher image is suitable for practical use in secure image storing and transmission.

Digital Image Encryption Scheme Based on Multiple Chaotic Systems

2012 ◽  
Vol 13 (2) ◽  
pp. 67-88 ◽  
Author(s):  
Ahmed A. Abd El-Latif ◽  
Li Li ◽  
Tiejun Zhang ◽  
Ning Wang ◽  
Xianhua Song ◽  
...  
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Chaotic Systems ◽  
Encryption Scheme ◽  
Digital Image Encryption ◽  
Multiple Chaotic Systems

Design of Digital Image Encryption Scheme With Cryptographic Analysis

2021 ◽  
Author(s):  
Krasimir Kordov ◽  
Stanimir Zhelezov ◽  
Atanas Nachev ◽  
Nikolay Gueorguiev ◽  
Daniela Pavlova
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Encryption Scheme ◽  
Digital Image Encryption

scholarly journals A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Adelaïde Nicole Kengnou Telem ◽  
Colince Meli Segning ◽  
Godpromesse Kenne ◽  
Hilaire Bertrand Fotsin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Image Encryption ◽  
Initial Conditions ◽  
Logistic Map ◽  
Encryption Scheme ◽  
Secret Key ◽  
Gray Image ◽  
Artificial Neural ◽  
Chaotic Logistic Map

A robust gray image encryption scheme using chaotic logistic map and artificial neural network (ANN) is introduced. In the proposed method, an external secret key is used to derive the initial conditions for the logistic chaotic maps which are employed to generate weights and biases matrices of the multilayer perceptron (MLP). During the learning process with the backpropagation algorithm, ANN determines the weight matrix of the connections. The plain image is divided into four subimages which are used for the first diffusion stage. The subimages obtained previously are divided into the square subimage blocks. In the next stage, different initial conditions are employed to generate a key stream which will be used for permutation and diffusion of the subimage blocks. Some security analyses such as entropy analysis, statistical analysis, and key sensitivity analysis are given to demonstrate the key space of the proposed algorithm which is large enough to make brute force attacks infeasible. Computing validation using experimental data with several gray images has been carried out with detailed numerical analysis, in order to validate the high security of the proposed encryption scheme.

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