REVIEW OF METHODS FOR CYBER ATTACK PREDICTION IN EDUCATIONAL INSTITUTIONS
Analysis of research from various countries on cyber attack prediction shows that predicting cyber attacks before they occur is an important but challenging task, as finding early warning signs of an attack from large amounts of data is not a trivial task. For several years, the scientific community has been conducting research work on predicting cyber attacks using various methods in order to create adequate methods for early protection against them. The paper reviewed the literature on methods of predicting cyber attacks in educational institutions. The following methods were considered: machine learning; application of preknown signatures or prototypes of certain processes or events; method of interval prediction of cyber attack intensity by means of PNN