Using the Neural Networks in Encryption

H. Karruffa, S.

	Using the Neural Networks in Encryption
Tikrit Journal of Pure Science
Article 1, Volume 15, Issue 3, 2010, Pages 281-292
Author
S. H. Karruffa
Abstract
The main purpose of encryption is keeping the plain text (or the key or both) secretly far from the enemies on the assumption of being have the whole ability to reach the communications between the sender and the receiver. Encryption generally is data transportation from one side to another by keeping the data not to be change or amended or watching, There are many ways for encryption that are used for converting the original message to a cipher one. While the artificial neural networks are data processing system that has performance characteristics in a way that resembles the vital neural networks. In another form, we found that artificial neural networks is either a resemblance for the method that the human mind performs a certain mission, which is a huge processor that is distributed in parallel way and consisted of simple processing units where it stores the practical knowledge to make it available for user by means of weights seizing. In this research, the neural network was used in encryption The back propagation neural network was used for performing the action, it has many characteristics can be easily treated with problems in a simple and clear way and the possibility of the network to solve the complex problems and using it in pattern recognition. is work includes two stage: The first stages, an algorithm was suggested for encryption process where plain text can be entered and getting the cipher text by using the neural network. While the second stage , an algorithm was suggested for the process of decryption were the cipher text can be entered and to produce the plain text by using network. The program was developed in Matlab language version 6.5 for performing the action.

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