CYBER ATTACK DETECTION AND MONITORING SYSTEM FOR COMPUTER NETWORKS BASED ON ARTIFICIAL INTELLIGENCE

Authors

  • Uzoqov Farkhod G'afforovich associate professor Namangan state technical university

Keywords:

Cybersecurity, artificial intelligence, intrusion detection system (IDS), network monitoring, data analytics, machine learning, normal and abnormal activity, threat prediction, network traffic.

Abstract

This article discusses the detection and countermeasures of cyber threats in modern computer networks. It discusses a system for detecting and monitoring network attacks based on artificial intelligence technologies.

References

1. Abdullayev, R. (2021). Zamonaviy Axborot Xavfsizligi. Toshkent: O'zbekiston Milliy Universiteti Nashriyoti.

2. Tanenbaum, A. S., & Wetherall, D. J. (2021). Computer Networks. 6th Edition. Pearson Education.

3. Goodfellow, I., Bengio, Y., & Courville, A. (2020). Deep Learning. MIT Press.

4. Abdullayev, A. (2021). "Virtual reallik asoslari" o’quv qo’llanma

5. Karimov, S. (2022). "Kengaytirilgan reallik texnologiyalari" o’quv qo’llanma

Online resources

1. Cisco Systems. (2023). Network Security Fundamentals. https://www.cisco.com/security

2. SANS Institute. (2023). Information Security Resources. https://www.sans.org

3. O'zbekiston Raqamli Texnologiyalar Vazirligi. (2023). Kiberxavfsizlik bo'yicha metodik qo'llanma. https://dtm.uz/cybersecurity

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Published

2025-11-30

How to Cite

Uzoqov Farkhod G'afforovich. (2025). CYBER ATTACK DETECTION AND MONITORING SYSTEM FOR COMPUTER NETWORKS BASED ON ARTIFICIAL INTELLIGENCE. GLOBAL SCIENTIFIC RESEARCH AND INTELLECTUAL PURSUITS, 1(2), 5–8. Retrieved from https://worldconferences.us/index.php/gsr/article/view/697