NONLINEAR PHENOMENA IN COMPLEX SYSTEMS
An Interdisciplinary Journal

2026, Vol.29, No.1, pp.92 - 104


Preparation and Analysis of Information Security Events for Deep Learning Models in University Networks

Alexsandr Sobol and Viktor Kochyn

This article looks at modern cybersecurity methods in educational institutions, using a university with a developed IT infrastructure as an example. The relevance of this work is determined by the growing number of cyberattacks on educational institutions' networks and the need to implement smart information protection systems. A number of typical threats are considered, including unauthorized access, malware, and phishing, as well as the characteristics of the university infrastructure that affect the risk of cybersecurity incidents.

Key words: cybersecurity, university information technology infrastructure, normalization of information security events, data vectorization, deep learning, information security system
DOI: https://doi.org/10.5281/zenodo.19347277

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