INTERNATIONAL EXPERIENCE IN AI-BASED CYBERATTACK DETECTION SYSTEMS

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Authors: Abrorkhon Makhmudov
Cited by: 0

Abstract

This article analyzes international experience in cyberattack detection systems using artificial intelligence technologies. The study examines modern cybersecurity systems used in the United States, European countries, and Asian nations. It also considers the effectiveness of processes such as AI-based threat detection, network monitoring, malware detection, and anomaly analysis. The article highlights the advantages of systems based on machine learning, deep learning, and neural networks, as well as their role in ensuring cybersecurity..

Fields of Study & Subjects

Network Security and Intrusion Detection Advanced Malware Detection Techniques Network Packet Processing and Optimization

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 March 2026
Language
EN