Symmetric Encryption Scheme Based on Neural Network

2018;
: pp. 118 - 122
Автори: 
Yurii Tsymbal

Department of automated control systems, Lviv Polytechnic National University, S. Bandery Str., 28a, Lviv, 79013, UKRAINE, E-mail: yurij.tsymbal@gmail.com

The method of symmetric data encryption on the basis of neural networks of the geometric transformations model (GTM) has been considered. Encryption key consists of input values of the training and test sets of the network. The property of the GTM networks to form a hyperplane that passes through the points of the training set has been used. The possibilities of application of the developed method for encryption of raster images have been shown.

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