Hybridization of Genetic Algorithm with Neural Networks to Cipher English Texts
This research aims in the first stage to built a cipher system using hybrid Genetic Algorithm with single layer Neural network to prevent any data attack during the transition process , where the ASCII of the letters are used as inputs to the network and the random numbers are used as outputs to the...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
Mosul University
2010-12-01
|
| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163928_b64f4f594bcc7891fbbd9de34d9d51e7.pdf |
| Summary: | This research aims in the first stage to built a cipher system using hybrid Genetic Algorithm with single layer Neural network to prevent any data attack during the transition process , where the ASCII of the letters are used as inputs to the network and the random numbers are used as outputs to the network , then the weights will be constructed after the network training .
In the second stage a decipher process is used to restore the ciphered data by using the inverse of the genetic neural network , where the inverse of weights is used as a key for the decryption process .
Stream cipher method is used to input the data in the network during the ciphering stage. This suggested technique attained 100% success.
All the ciphering and deciphering processes are built under MATLAB ver.(7) . |
|---|---|
| ISSN: | 1815-4816 2311-7990 |