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Intrusion Detection Systems In Modern Networks Technologies Challenges And Future Research Directions

Nuriddin SafoevTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanSuhrobjon BozorovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanSirojiddin SalimovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanShakarov Muhiddin Abdug‘Affor O‘G‘LiCyber university, Tashkent region, Uzbekistan
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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.

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