Development of Network Traffic Monitoring System Elements Using Deep Learning

in this article we develop a network traffic monitoring system elements using deep learning that demonstrates the high effectiveness of deep learning in detecting and analyzing network traffic, which contributes to ensuring the security and stability of corporate networks. In this context we develop algorithms for detecting and countering potential threats in network traffic, providing deeper analysis and effective response to cyber threats.

Authors

Institutions

Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122254
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of Network Traffic Monitoring System Elements Using Deep Learning

Інна Кондіус, N. Bahnіuk, Vasyl Melnyk, Kateryna Bortnyk et al.
Traffic Prediction and Management Techniques
article

Development of Network Traffic Monitoring System Elements Using Deep Learning

Інна Кондіус, N. Bahnіuk, Vasyl Melnyk, Kateryna Bortnyk, Nataliia Zubovetska, Kostiantyn Kondius
article en

Abstract

in this article we develop a network traffic monitoring system elements using deep learning that demonstrates the high effectiveness of deep learning in detecting and analyzing network traffic, which contributes to ensuring the security and stability of corporate networks. In this context we develop algorithms for detecting and countering potential threats in network traffic, providing deeper analysis and effective response to cyber threats.

National University of Food Technologies (UA), Lutsk National Technical University (UA)
Openalex Percentile: Top 68%
Traffic Prediction and Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.