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Data encryption Using Backpropagation Neural Network | ||
| Tikrit Journal of Pure Science | ||
| Article 1, Volume 15, Issue 2, 2010, Pages 112-117 | ||
| Author | ||
| Raid R. Al-nima | ||
| Abstract | ||
| The aim of this research is to build a ciphering technique by using artificial neural network to protect data against unauthorized access to the data being transferred. The encryption data includes three stages: first Stage :- Training a network by using backpropagation to obtain weights. Second Stage:- Encryption data by using the weights obtained from first stage and consider the weights of first layer as a public key. third Stage:- Decryption data by using the weights obtained from the first stage and consider the weights of second layer as a private key. The three stages are attained 100% success for data encryption process and data getting back process. This technique is similar to coding asymmetric, and have the ability of coding a group of data such as:- text, characters, numbers and waves. This work is executed by computer type P4 with whole equipments and Matlab language version 7. | ||
| Keywords | ||
| encryption; decryption; Backpropagation | ||
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