The organization of security in distributed information and communication systems is often complicated by their scale, topological complexity, and the need to monitor large volumes of traffic. Classical perimeter-based placement of intrusion detection systems can be ineffective under resource constraints.
The article addresses the issue of data protection in information and communication systems amid the growing volume of traffic and the increasing number of cyber threats, necessitating improvements in the effectiveness of intrusion detection and prevention systems. Various types of Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS), their advantages, and disadvantages are considered. The methods of threat detection are analyzed, including signature-based methods, anomaly detection methods, and machine learning-based methods.