SECURITY OF COMPUTER NETWORK FUNCTIONING BASED ON A NEURON MODEL OF OVERLOAD CONTROL

Authors

DOI:

https://doi.org/10.31891/2307-5732-2023-321-3-188-194

Keywords:

telecommunication network, safety of operation congestion prediction, sensitivity function, gradient, neural system, queue management, prediction horizon

Abstract

The method of ensuring the operation security of computer network based on the proposed overload prediction and detection scheme is considered. Congestion management is performed by adjusting the incoming data flow and analyzing the network performance sensitivity function. The gradient of the sensitivity function characterizes the rate of change of this function and provides the optimal direction for adjusting the speed of the data source.

The results of a comparative analysis of congestion control methods based on the analysis of the queue length and the sensitivity indicator with 1- and 3-step horizons by predicting the state of the network are presented.

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Published

2023-06-29

Issue

Vol. 321 No. 3 (2023): Herald of Khmelnytskyi National University. Technical sciences

Section

Статті

License

Copyright (c) 2023 ОЛЕКСАНДР ТОРОШАНКО, ПАВЛО АФАНАСЬЄВ, ІГОР ІЩУК, ЯРОСЛАВ ТОРОШАНКО (Автор)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

TOROSHANKO, O., AFANASIEV, P., ISHCHUK, I., & TOROSHANKO, Y. (2023). SECURITY OF COMPUTER NETWORK FUNCTIONING BASED ON A NEURON MODEL OF OVERLOAD CONTROL. Herald of Khmelnytskyi National University. Technical Sciences, 321(3), 188-194. https://doi.org/10.31891/2307-5732-2023-321-3-188-194