PROTECTING NETWORKS FROM ATTACKS USING ARTIFICIAL INTELLIGENCE

Authors

  • Sirojiddin Rasuljon o‘g‘li Ismoilov Fergana branch of the Tashkent University of Information Technologies, student
  • Sayyora Jo‘raboy qizi Shamamatova Fergana branch of the Tashkent University of Information Technologies, student
  • Ulug‘bek Ravshanbekovich Maxmudov Fergana branch of the Tashkent University of Information Technologies, student

Keywords:

AI, artificial intelligence, network security, network attack detection, anomaly detection, botnet detection, security intelligence, machine learning, deep learning, threat intelligence, cybersecurity.

Abstract

Network attacks are a growing threat to businesses and organizations of all sizes. Traditional security measures, such as firewalls and intrusion detection systems (IDS), are no longer sufficient to protect against the latest and most sophisticated attacks. Artificial intelligence (AI) offers a promising new approach to network security. AI-based systems can learn from historical data to identify patterns of behavior that are associated with attacks. This allows them to detect new and emerging threats that traditional security measures cannot see.

References

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NU Nozimjon o‘g‘li, AO Azimjon o‘g‘li, TA Ilhomjon o‘g‘li. Education to Give in Processes Information and Communication Technologies. American Journal of Public Diplomacy and International Studies (2993-2157). (Vol. 1, No. 6, pp. 18-21).

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Published

2024-01-22

How to Cite

Ismoilov, S. R. o‘g‘li, Shamamatova, S. J. qizi, & Maxmudov, U. R. (2024). PROTECTING NETWORKS FROM ATTACKS USING ARTIFICIAL INTELLIGENCE. Educational Research in Universal Sciences, 3(2 SPECIAL), 323–326. Retrieved from http://erus.uz/index.php/er/article/view/5793