Encryption of text messages using multilayer neural networks-Reference-Cited by-同舟云学术

Encryption of text messages using multilayer neural networks

Published:2020-12-02 Issue:2 Volume:10 Page:1-6
ISSN:2224-0977
Container-title:Computational Problems of Electrical Engineering
language:
Short-container-title:Comput. probl. electr. eng.

Author:

Brygilevych Volodymyr, ,Pelypets Nazar,Rabyk Vasyl^ORCID, ,

Abstract

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.

Publisher

Lviv Polytechnic National University

Subject

General Medicine

Reference10 articles.

1. 1. B.Schneier, Applied cryptography: Protocols, Algorithms, Source Code in C, Triumf, p. 815, 2012.

2. 2. E.Volna, M.Kotyrba, V.Kocian, and M.Janosek, "Cryptography Based On Neural Network" // in Proc. 26th European Conference on Modeling and Simulation, pp. 386-391, 2012.

3. 3. V.Sagar and K.Kumar, "A Symmetric Key Cryptographic Algorithm Using Counter Propagation Network (CPN)", in Proc. 2014 ACM International Conference on Information and Communication Technology for Competitive Strategies, vol. ISBN, no. 978-1-4503-3216-3, 2014.

4. 4. K.Shihab, "A backpropagation neural network for computer network security", Journal of Computer Science, vol. 2, no. 9, pp. 710-715, 2006.

5. 5. Choi-Kuen Chan, Chi-Kwong Chan, L.P. Lee, L.M. Cheng, Encryption system based on neural network, Communications and Multimedia Security Issues of the New Century, Springer, pp. 117-122, 2001.