RESEARCH OF ARTIFICIAL INTELLIGENCE ALGORITHMS IN PREDICTION OF CYBERATTACKS
DOI:
https://doi.org/10.47390/ydif-y2026v2i14/n20Keywords:
artificial intelligence, cybersecurity, cyberattacks, artificial intelligence algorithms, machine learning, anomaly detection, higher education, teaching methodology, digital competence, information security.Abstract
This thesis discusses the use of artificial intelligence algorithms in the early detection of cyberattacks, their role in increasing the efficiency of cybersecurity systems, and methodological aspects of teaching these algorithms in the higher education process. The study analyzes the capabilities of artificial intelligence-based algorithms in early detection of cyberattacks, analysis of anomalous situations in network traffic, and ensuring information security. Also, recommendations on pedagogical approaches, modern teaching methods, and the organization of practical training aimed at forming competencies in working with artificial intelligence-based cybersecurity systems in future computer science and information technology specialists were developed.
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