Development of a Method for Investigating Cybercrimes by the Type of Ransomware Using Artificial Intelligence Models in the Information Security Management System of Critical Infrastructure
In this article, the authors focused on analyzing the possibilities of using artificial intelligence models for effective detection and analysis of cybercrimes. A comprehensive method using artificial intelligence algorithms, such as Random Forest and Isolation Forest algorithms, is developed and described to detect ransomware, which is one of the main threats to information security management systems (ISMS) in the field of critical infrastructure.