Multiple Data Type Encryption Using Genetic Neural Network

<p>The aim of this research is to build a ciphering system by using genetic neural network technique to protect data against unauthorized access to the data being transferred.</p><p>The encryption data includes three stages: first Stage :- Using the genetic algorithm to train backp...

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Bibliographic Details
Main Authors: Raid7 Al-Nima Ali N. Hamed, Ali N. Hamad, Ridwaan Y. Srdeeq
Format: Article
Language:English
Published: Tikrit University 2015-02-01
Series:Tikrit Journal of Engineering Sciences
Subjects:
Online Access:http://www.tj-es.com/ojs/index.php/tjes/article/view/177
Description
Summary:<p>The aim of this research is to build a ciphering system by using genetic neural network technique to protect data against unauthorized access to the data being transferred.</p><p>The encryption data includes three stages: first Stage :- Using the genetic algorithm to train backpropagation neural network for obtaining weights. Second Stage:- Encryption data by using the weights obtained from first backpropagation layer and consider its weights as a encrypted key. third Stage:- Decryption data by using the weights obtained from second backpropagation layer and consider its weights as a  decrypted key.</p><p>This system is similar to coding asymmetric, and have the ability of coding a group of data such as:- pictures, waves and texts.</p>
ISSN:1813-162X
2312-7589