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

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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>