Article
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Intrusion Detection Survey: A Survey and Taxonomy
Version 1
: Received: 5 June 2020 / Approved: 7 June 2020 / Online: 7 June 2020 (07:58:18 CEST)
How to cite: Khaliq, S. Intrusion Detection Survey: A Survey and Taxonomy. Preprints 2020, 2020060065. https://doi.org/10.20944/preprints202006.0065.v1 Khaliq, S. Intrusion Detection Survey: A Survey and Taxonomy. Preprints 2020, 2020060065. https://doi.org/10.20944/preprints202006.0065.v1
Abstract
This paper incorporates the definition of Intrusion Detection Systems and the methodologies utilised by these systems. As well as this, this research paper also encompasses a taxonomy and a survey of IDS and the specific strategies and principles. Finally, this paper also includes a discussion amongst other authors for instance what the authors differ and agree on, along with the previously related studies.
Keywords
Cyber Attacks; Network Security; Network Performance; Network Traffic; Anomaly Detection; Signature Detection
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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