Abstract. This paper presents a methodological framework for classifying network traffic anomalies, detailing the relationships between their sources, manifestation areas, and characteristic features. Optimized detection schemes for anomalies and misuse based on threshold-based, statistical, and machine learning methods are discussed. A formal model for detecting and classifying anomalous events in distributed networks is proposed, ensuring high detection accuracy and adaptive parameter tuning.
| Mualliflar | Abdulhamidova, Nilufar |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashriyot | ТАТУ Фарғона филиали |
| ISSN | 2181-4252 |
| Nashr sanasi | 2025-10-08 |
| Son | 3 |
| Betlar | 159-163 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-08-26 |
Ключевые слова: сетевая аномалия, классификация, детекция, машинное обучение, пороговые методы, адаптивная модель., : Deepfake, Generative Adversarial Networks (GANs), Cybersecurity, Deepfake Detection., Kalit so‘zlar: tarmoq anomaliyasi, tasniflash, aniqlash, mashinali o‘qitish, chegaraviy usullar, moslashuvchan model
| APA | Abdulhamidova, Nilufar (2025). METHODOLOGICAL APPROACHES TO BUILDING EFFECTIVE NETWORK ANOMALY DETECTION SYSTEMS. Al-Farg'oniy avlodlari, (3), 159-163. https://al-fargoniy.uz/index.php/journal/article/view/915 |
|---|---|
| GOST (OAK) | Abdulhamidova, Nilufar METHODOLOGICAL APPROACHES TO BUILDING EFFECTIVE NETWORK ANOMALY DETECTION SYSTEMS // Al-Farg'oniy avlodlari. – 2025. – № 3. – P. 159-163. |
| MLA | Abdulhamidova, Nilufar. “METHODOLOGICAL APPROACHES TO BUILDING EFFECTIVE NETWORK ANOMALY DETECTION SYSTEMS.” Al-Farg'oniy avlodlari, (3), 159-163, 2025. https://al-fargoniy.uz/index.php/journal/article/view/915 |
| Chicago | Abdulhamidova, Nilufar. “METHODOLOGICAL APPROACHES TO BUILDING EFFECTIVE NETWORK ANOMALY DETECTION SYSTEMS.” Al-Farg'oniy avlodlari, (3), 159-163 (2025). https://al-fargoniy.uz/index.php/journal/article/view/915 |
| Harvard | Abdulhamidova, Nilufar (2025) ‘METHODOLOGICAL APPROACHES TO BUILDING EFFECTIVE NETWORK ANOMALY DETECTION SYSTEMS’, Al-Farg'oniy avlodlari, (3), 159-163. https://al-fargoniy.uz/index.php/journal/article/view/915 |
| BibTeX | @article{abdulhamidovanilufar2025,
title = {METHODOLOGICAL APPROACHES TO BUILDING EFFECTIVE NETWORK ANOMALY DETECTION SYSTEMS},
author = {Abdulhamidova, Nilufar},
journal = {Al-Farg'oniy avlodlari},
year = {2025},
number = {3},
pages = {159-163},
url = {https://al-fargoniy.uz/index.php/journal/article/view/915}
} |
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