Multiple Data Type Encryption using Genetic Neural Network
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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.
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