Hybridization of Genetic Algorithm with Neural Networks to Cipher English Texts | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 21, Volume 7, Issue 3, December 2010, Pages 77-90 PDF (427.04 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2010.163928 | ||
| Authors | ||
| Radwan Y. Al-Jawadi; Raid R. Al-Naima | ||
| Technical College University of Mosul | ||
| Abstract | ||
| 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) . | ||
| Keywords | ||
| genetic algorithm; neural networks; stream cipher; English Texts | ||
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