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Multiple Data Type Encryption Using Genetic Neural Network | ||
| Tikrit Journal of Engineering Sciences | ||
| Article 1, Volume 17, Issue 2, 2010, Pages 51-57 PDF (0 K) | ||
| Authors | ||
| Ali N. Hamed; Ridwaan Y. Srdeeq; Raid R. Al-Nima | ||
| Abstract | ||
| 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.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.This system is similar to coding asymmetric, and have the ability of coding a group of data such as:- pictures, waves and texts. Keywords: Encryption , Decryption , Genetic , Neural network , Genetic neural network. | ||
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