Design and Implementation of Block Cipher Using Neural Network

Abstract<br /> The last decade witnessed a great evolution on the fields of computer science, artificial intelligence, communication and data transmission. This evolution draw the attention of specialists to design a modern cryptosystem for data encryption based on neural networks methodologie...

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Main Authors: Siddeq Ameen, Mazin Othman, Safwan Hasson
Format: Article
Language:Arabic
Published: College of Education for Pure Sciences 1999-11-01
Series:مجلة التربية والعلم
Online Access:https://edusj.mosuljournals.com/article_58809_7a1a850438ea29c85753ee980d3756f0.pdf
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author Siddeq Ameen
Mazin Othman
Safwan Hasson
author_facet Siddeq Ameen
Mazin Othman
Safwan Hasson
author_sort Siddeq Ameen
collection DOAJ
description Abstract<br /> The last decade witnessed a great evolution on the fields of computer science, artificial intelligence, communication and data transmission. This evolution draw the attention of specialists to design a modern cryptosystem for data encryption based on neural networks methodologies that are very hard, if not impossible, to be broken.<br /> This paper employs cryptography scheme utilizes the neural networks in block cipher algorithms. Taking into consideration different plaintexts block size. The block frequency test has been show the successful of ciphertexts with difficulty to break the cipher process.<br /> The application of the neural network in cryptography provides fast and high security system in block ciphering in comparison with traditional methods. The C++ language is used for designing the programs of neural network to encryption and decryption algorithms.
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spelling doaj.art-da7ad39d96724843b3e34750219d77442022-12-21T18:40:11ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25301999-11-0124315817710.33899/edusj.1999.5880958809Design and Implementation of Block Cipher Using Neural NetworkSiddeq Ameen0Mazin Othman1Safwan Hasson2Department of Computer Eng and I.T, University of Technology, University of Baghdad, Baghdad, IraqTechnical College of Mosul, Commission of Technical Education, Mosul, IraqCollege of Sciences and Mathematics, University of Mosul, Mosul, IraqAbstract<br /> The last decade witnessed a great evolution on the fields of computer science, artificial intelligence, communication and data transmission. This evolution draw the attention of specialists to design a modern cryptosystem for data encryption based on neural networks methodologies that are very hard, if not impossible, to be broken.<br /> This paper employs cryptography scheme utilizes the neural networks in block cipher algorithms. Taking into consideration different plaintexts block size. The block frequency test has been show the successful of ciphertexts with difficulty to break the cipher process.<br /> The application of the neural network in cryptography provides fast and high security system in block ciphering in comparison with traditional methods. The C++ language is used for designing the programs of neural network to encryption and decryption algorithms.https://edusj.mosuljournals.com/article_58809_7a1a850438ea29c85753ee980d3756f0.pdf
spellingShingle Siddeq Ameen
Mazin Othman
Safwan Hasson
Design and Implementation of Block Cipher Using Neural Network
مجلة التربية والعلم
title Design and Implementation of Block Cipher Using Neural Network
title_full Design and Implementation of Block Cipher Using Neural Network
title_fullStr Design and Implementation of Block Cipher Using Neural Network
title_full_unstemmed Design and Implementation of Block Cipher Using Neural Network
title_short Design and Implementation of Block Cipher Using Neural Network
title_sort design and implementation of block cipher using neural network
url https://edusj.mosuljournals.com/article_58809_7a1a850438ea29c85753ee980d3756f0.pdf
work_keys_str_mv AT siddeqameen designandimplementationofblockcipherusingneuralnetwork
AT mazinothman designandimplementationofblockcipherusingneuralnetwork
AT safwanhasson designandimplementationofblockcipherusingneuralnetwork