Essay
Version 1
Preserved in Portico This version is not peer-reviewed
Intrusion Detection Systems: A Survey and Taxonomy
Version 1
: Received: 14 June 2022 / Approved: 15 June 2022 / Online: 15 June 2022 (09:28:49 CEST)
How to cite: Coates, O. Intrusion Detection Systems: A Survey and Taxonomy. Preprints 2022, 2022060218. https://doi.org/10.20944/preprints202206.0218.v1 Coates, O. Intrusion Detection Systems: A Survey and Taxonomy. Preprints 2022, 2022060218. https://doi.org/10.20944/preprints202206.0218.v1
Abstract
Intrusion Detection Systems (IDS) plays a part in modern cyber security, as a result of the increasing need for cyber security systems in the “real” world due to the increasing number of cyber attacks, more sophisticated systems are required in order to prevent these attacks - an IDS can provide this protection. Due to the sophistication of these systems, they must be properly understood, developed and analyzed - research papers can be used as a tool to improve IDS systems. This paper is composed of two main sections: a survey and a taxonomy, providing information, reviews and interpretations from relevant papers, a timeline of important papers, a discussion on the future of IDS and a classification on IDS and how to apply this.
Keywords
Intrusion Detection Systems; IDS; Cyber Security; Information Technology; Security Systems; Systems Security
Subject
Computer Science and Mathematics, Information Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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