A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2014/602921 |
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| _version_ | 1849690191241936896 |
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| author | Adelaïde Nicole Kengnou Telem Colince Meli Segning Godpromesse Kenne Hilaire Bertrand Fotsin |
| author_facet | Adelaïde Nicole Kengnou Telem Colince Meli Segning Godpromesse Kenne Hilaire Bertrand Fotsin |
| author_sort | Adelaïde Nicole Kengnou Telem |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ec112b7b5d9244da85c8511a47aa3ef0 |
| institution | DOAJ |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-ec112b7b5d9244da85c8511a47aa3ef02025-08-20T03:21:23ZengWileyAdvances in Multimedia1687-56801687-56992014-01-01201410.1155/2014/602921602921A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural NetworkAdelaïde Nicole Kengnou Telem0Colince Meli Segning1Godpromesse Kenne2Hilaire Bertrand Fotsin3Laboratoire d’Automatique et d’Informatique Appliquée (LAIA), Département de Génie Electrique, IUT Fotso Victor Bandjoun, Université de Dschang, B.P. 134, Bandjoun, CameroonLaboratoire d’Automatique et d’Informatique Appliquée (LAIA), Département de Génie Electrique, IUT Fotso Victor Bandjoun, Université de Dschang, B.P. 134, Bandjoun, CameroonLaboratoire d’Automatique et d’Informatique Appliquée (LAIA), Département de Génie Electrique, IUT Fotso Victor Bandjoun, Université de Dschang, B.P. 134, Bandjoun, CameroonLaboratoire d’Electronique et de Traitement du Signal (LETS), Département de Physique, Faculté des Sciences, Université de Dschang, CameroonA 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.http://dx.doi.org/10.1155/2014/602921 |
| spellingShingle | Adelaïde Nicole Kengnou Telem Colince Meli Segning Godpromesse Kenne Hilaire Bertrand Fotsin A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network Advances in Multimedia |
| title | A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network |
| title_full | A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network |
| title_fullStr | A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network |
| title_full_unstemmed | A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network |
| title_short | A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network |
| title_sort | simple and robust gray image encryption scheme using chaotic logistic map and artificial neural network |
| url | http://dx.doi.org/10.1155/2014/602921 |
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