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
- Інна Кондіус (ORCID: https://orcid.org/0000-0003-3416-7506)
- N. Bahnіuk (ORCID: https://orcid.org/0000-0002-7120-5455)
- Vasyl Melnyk (ORCID: https://orcid.org/0000-0001-8282-6639)
- Kateryna Bortnyk
- Nataliia Zubovetska
- Kostiantyn Kondius
Institutions
- National University of Food Technologies (UA)
- Lutsk National Technical University (UA)
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