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  3. Volume 10, Number 2, 2020
  4. Encryption of text messages using multilayer neural networks

Encryption of text messages using multilayer neural networks

JCPEE.
2020;
Volume 10, Number 2
: pp. 1-6
https://doi.org/10.23939/jcpee2020.02.001
Authors:
  1. Volodymyr Brygilevych
  2. Nazar Pelypets
  3. Vasyl Rabyk
1
Institute of Technical Engineering the State Higher School of Technology and Economics in Jarosław
2
Department of Sensory and Semiconductor Electronics Ivan Franko National University of Lviv
3
Department of Radio Physics and Computer Technologies Ivan Franko National University of Lviv

The article considers an algorithm for encrypting / decrypting text messages using multilayer neural networks (MLNN). The algorithm involves three steps: training a neural network based on the training pairs formed from a basic set of characters found in the text; encryption of the message using the weight coefficients of the hidden layers; its decryption using the weight coefficients of the output layer. The conditions necessary for successful encryption / decryption with this algorithm are formed, its limitations are emphasized. The MLNN architecture and training algorithm are described. The results of experimental research done by using the NeuralNet program are given: training the MLNN employing the BP (Sequential), BP (Batch), Rprop, QuickProp methods; an example of encrypting / decrypting a text message.

encryption
decryption
multilayer neural networks
training algorithms
NeuralNet program
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