Intrusion Detection Systems In Modern Networks Technologies Challenges And Future Research Directions
Annotatsiya
This paper examines the main types, detection approaches, and architectural solutions of Intrusion Detection Systems (IDS). Based on early research, it analyzes host-based, network-based, and hybrid deployment models, as well as signature-based, anomaly-based, and hybrid detection methods. The paper further presents modern industry-grade platforms widely used today—such as Suricata, Zeek, Wazuh, and AI/ML-based security solutions—in place of earlier academic prototypes developed in the 2010s. In addition, it discusses current challenges, including real-time processing requirements, false positive rates, encrypted traffic analysis, scalability issues, and the integration of artificial intelligence, as well as outlines future research directions in the field.