@article {
author = {Kamil Hamid, Oday},
title = {Arabic Text Encryption Using Artificial Neural Networks},
journal = {Engineering and Technology Journal},
volume = {34},
number = {5A},
pages = {887-899},
year = {2016},
publisher = {University of Technology-Iraq},
issn = {1681-6900},
eissn = {2412-0758},
doi = {10.30684/etj.34.5A.7},
abstract = {This research aims to build a cipher system using back propagation Algorithm with artificial neural network to encrypt any Arabic text and to prevent any data attack during the transition process.Encryption information holdsfour stages: 1)A neural network was trained by using back propagation algorithm to encrypt the whole input Arabic text and graspfinal weights and consider these weights as a public key. 2) Training a second neural network by using back propagation algorithm to decrypt the input Arabic text of first stage and graspweights and consider the weights as a private key. 3)Encrypt any Arabic text by using the weights obtained from first stage. 4)Decrypt the Arabic text from third stage by using the weights obtained from second stage. The four stages are achieved prosperously for data encryption process and decryption. This work is executed by using Matlab program version 7 and Notepad++ for writing text because it supports Arabic numbers under windows 7 as operating system.},
keywords = {symmetric key,a symmetric key,Cryptography,public,private,Back Propagation},
url = {https://etj.uotechnology.edu.iq/article_113104.html},
eprint = {https://etj.uotechnology.edu.iq/article_113104_0475fb9605ceb8a5ad373d13fd25c78b.pdf}
}