IMPLEMENTATION OF A HYBRID APPROACH BASED ON INTELLIGENT DATA ANALYSIS METHODS IN INTRUSION DETECTION SYSTEMS

The growth of cyber influence and its diversity in cyberspace require a proactive approach to the development of intelligent models and methods. These tools are necessary for effective data analysis and their application in the field of cyber countermeasures. It is critically important to research innovative solutions capable of navigating the complexities of large data sets. The goal of the research is to ensure not only the accuracy of the analysis, but also the timely receipt of valuable information. Such research efforts are indispensable for meeting the growing demand for reliable data processing capabilities in various sectors. The development of information technology has led to a significant increase in the number of attacks on information system components. This has made intrusion detection an extremely relevant and critical task. In this context, data mining methods offer broad opportunities for application in various scientific and technical fields, including information security. This article is devoted to the study of the application of data mining methods in intrusion detection systems (IDS). The paper classifies intrusion detection systems according to various criter