Development of an algorithm for predicting attack vectors on information systems using association rules

The aim of the study is to develop an algorithm for predicting attacker vectors on information systems using connection search algorithms based on association rules. As a result of the study, an algorithm was developed for predicting attacker vectors on information systems using intelligent predictive models. Optimal parameters for the predictive models were identified, allowing for the highest accuracy of predictions.