Host-based Intrusion Detection Using Signature-based and AI-driven Anomaly Detection Methods

5016_host-based_intrusion_detection.pdf

Publication Type:

Journal Article

Authors:

Panos Panagiotou; Notis Mengidis; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris

Source:

Information & Security: An International Journal, Volume 50, Issue 1, p.37-48 (2021)

Keywords:

AI, anomaly detection, artificial intelligence, computer security, Cybersecurity, intrusion detection

Abstract:

<p style="margin-left:19.85pt;">Cyberattacks are becoming more sophisticated, posing even greater challenges to traditional intrusion detections methods. Failure to prevent the intrusions could jeopardise security services&rsquo; credibility, including data confidentiality, integrity, and availability. Anomaly-based Intrusion Detection Systems and Signature-based Intrusion Detection Systems are two types of systems that have been proposed in the literature to detect security threats. In the current work, a taxonomy of current IDSs is presented, a review of recent works is performed, and we discuss some of the most common datasets used for evaluation. Finally, the survey concludes with a discussion of future IDS research directions and broader observations.</p>

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