NEURAL NETWORKS AS AN INSTRUMENT OF ANALYSIS OF NETWORK TRAFFIC
Rubrics: TECHNICAL CYBERNETICS
Authors:
Type:
Article
Pages:
from 151
to 157
Status:
Published
Received:
05.12.2019
Accepted:
11.12.2019
Published:
11.12.2019
Language:
Russian
Keywords:
network traffic, classification, artificial neural networks, convolutional neural networks, recurrent neural networks
Abstract (English):
In this paper basic methods of network traffic classification were considered. It was shown that at present, machine learning systems based on neural networks are of particular interest in this area. Comparison of the main types of artificial neural networks showed that to regulate traffic in conditions of limited performance RNN can be used.
In this paper basic methods of network traffic classification were considered. It was shown that at present, machine learning systems based on neural networks are of particular interest in this area. Comparison of the main types of artificial neural networks showed that to regulate traffic in conditions of limited performance RNN can be used.
Keywords:
network traffic, classification, artificial neural networks, convolutional neural networks, recurrent neural networks
network traffic, classification, artificial neural networks, convolutional neural networks, recurrent neural networks
