Methods for detecting anomalies in network traffic based on one-class svm technology

Komil Kerimov, С. А. Курбанов, Zarina Azizova

Кимёвий технология. Назорат ва бошқарув · 2025-yil

Annotatsiya

This article is dedicated to the research and application of the One-Class Support Vector Machines method for detecting anomalies in network traffic. It examines the problems of detecting anomalies in network traffic and proposes a methodology for using One-Class SVM, including an overview of the main concepts and formulas of the algorithm. A discussion of the results of One-Class SVM is presented, including interpretation, advantages, limitations and possible directions for development of the proposed technique, as well as the practical significance of using the proposed method for detecting anomalies in network traffic.

Maqola ma’lumotlari
MualliflarKomil Kerimov, С. А. Курбанов, Zarina Azizova
JurnalКимёвий технология. Назорат ва бошқарув
NashriyotТошкент давлат техника университети, «Ўзқурилишматериаллар» ДАК, «Ўзкимёсаноат» ДАК, «Совпластитал» ҚҚ, Ўзбекистон Интеллектуал мулк агентлиги
ISSN2181-1105, 1815-4840
Nashr sanasi2025-02-28
Jild2025
Son1
Betlar65-71
TilIngliz
Ilmiy sohaTexnika
DOI10.59048/2181-1105.1611
Indeksga qo‘shilgan2026-09-02

DOI: 10.59048/2181-1105.1611 · Maqolaning asl sahifasi · PDF

Ilmiy soha

Texnika

Iqtibos keltirish

APAKomil Kerimov, С. А. Курбанов, & Zarina Azizova (2025). METHODS FOR DETECTING ANOMALIES IN NETWORK TRAFFIC BASED ON ONE-CLASS SVM TECHNOLOGY. Кимёвий технология. Назорат ва бошқарув, 2025(1), 65-71. https://doi.org/10.59048/2181-1105.1611
GOST (OAK)Komil Kerimov, С. А. Курбанов, Zarina Azizova METHODS FOR DETECTING ANOMALIES IN NETWORK TRAFFIC BASED ON ONE-CLASS SVM TECHNOLOGY // Кимёвий технология. Назорат ва бошқарув. – 2025. – T. 2025, № 1. – P. 65-71. – DOI: 10.59048/2181-1105.1611.
MLAKomil Kerimov, С. А. Курбанов, and Zarina Azizova. “METHODS FOR DETECTING ANOMALIES IN NETWORK TRAFFIC BASED ON ONE-CLASS SVM TECHNOLOGY.” Кимёвий технология. Назорат ва бошқарув, 2025(1), 65-71, 2025. https://doi.org/10.59048/2181-1105.1611
ChicagoKomil Kerimov, С. А. Курбанов, and Zarina Azizova. “METHODS FOR DETECTING ANOMALIES IN NETWORK TRAFFIC BASED ON ONE-CLASS SVM TECHNOLOGY.” Кимёвий технология. Назорат ва бошқарув, 2025(1), 65-71 (2025). https://doi.org/10.59048/2181-1105.1611
HarvardKomil Kerimov, С. А. Курбанов, and Zarina Azizova (2025) ‘METHODS FOR DETECTING ANOMALIES IN NETWORK TRAFFIC BASED ON ONE-CLASS SVM TECHNOLOGY’, Кимёвий технология. Назорат ва бошқарув, 2025(1), 65-71. https://doi.org/10.59048/2181-1105.1611
BibTeX
@article{komilkerimov2025,
  title = {METHODS FOR DETECTING ANOMALIES IN NETWORK TRAFFIC BASED ON ONE-CLASS SVM TECHNOLOGY},
  author = {Komil Kerimov and С. А. Курбанов and Zarina Azizova},
  journal = {Кимёвий технология. Назорат ва бошқарув},
  year = {2025},
  volume = {2025},
  number = {1},
  pages = {65-71},
  doi = {10.59048/2181-1105.1611},
  url = {https://doi.org/10.59048/2181-1105.1611}
}

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