SUN’IY INTELLEKT YORDAMIDA KIBERHUJUMLARNI ANIQLASH VA OLDINI OLISHNING ZAMONAVIY USULLARI

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Kurbonova Firuza Zaripovna

Abstract

Mazkur maqolada sun’iy intellekt texnologiyalarining kiberxavfsizlik tizimlaridagi o‘rni, kiberhujumlarni erta aniqlash va ularga qarshi kurashishdagi ilmiy yondashuvlar tahlil qilinadi. Mashinali o‘qitish va chuqur o‘qitish algoritmlarining tarmoq trafigini tahlil qilish, anomaliyalarni aniqlash hamda tahdidlarni prognozlashdagi imkoniyatlari ko‘rib chiqiladi. Shuningdek, sun’iy intellekt asosidagi xavfsizlik tizimlarini joriy etishning afzalliklari, cheklovlari va istiqbollari yoritiladi.


В данной статье анализируется роль технологий искусственного интеллекта в системах кибербезопасности, а также научные подходы к раннему выявлению кибератак и противодействию им. Рассматриваются возможности алгоритмов машинного обучения и глубокого обучения при анализе сетевого трафика, обнаружении аномалий и прогнозировании киберугроз. Кроме того, освещаются преимущества, ограничения и перспективы внедрения систем кибербезопасности, основанных на технологиях искусственного интеллекта.


This article analyzes the role of artificial intelligence technologies in cybersecurity systems and examines scientific approaches to the early detection and prevention of cyberattacks. It explores the capabilities of machine learning and deep learning algorithms in network traffic analysis, anomaly detection, and cyber threat prediction. Furthermore, the paper discusses the advantages, limitations, and future prospects of implementing artificial intelligence-based cybersecurity systems.


 

Article Details

Section

Conference Articles

How to Cite

SUN’IY INTELLEKT YORDAMIDA KIBERHUJUMLARNI ANIQLASH VA OLDINI OLISHNING ZAMONAVIY USULLARI. (2026). Scientific Conference Open Proceedings, 2(1), 292-298. https://doi.org/10.5281/zenodo.2095735

References

1. Artificial Intelligence: A Modern Approach / Stuart Russell, Peter Norvig. – 4th Edition. – Pearson, 2021.

2. Deep Learning / Ian Goodfellow, Yoshua Bengio, Aaron Courville. – MIT Press, 2016.

3. Machine Learning for Cybersecurity / Akhil Kumar. – Springer, 2020.

4. National Institute of Standards and Technology (NIST). Cybersecurity Framework (CSF). – Gaithersburg, USA, 2018.

5. International Organization for Standardization. ISO/IEC 27001: Information Security Management Systems – Requirements. – 2022.

6. Cybersecurity and Cyberwar: What Everyone Needs to Know / P. W. Singer, Allan Friedman. – Oxford University Press, 2014.

7. Hacking: The Art of Exploitation / Jon Erickson. – No Starch Press, 2008.

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