Work

Development of Network Traffic Monitoring System Elements Using Deep Learning

Year: 2024

Type: conference-paper

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.

Source: International Conference on Dependable Systems, Services and Technologies (DESSERT)

DOI: 10.1109/dessert65323.2024.11122254

Authors: Vasyl Melnyk, Nataliia Bahniuk, Kateryna Bortnyk, Inna Kondius, Nataliia Zubovetska, Kostiantyn Kondius

Institutions: National University of Food Technologies, Lutsk National Technical University

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4413393074

FWCI:

Cites: 17

Cited by:

Related to: 10