- Title
- Survey of intrusion detection systems : techniques, datasets and challenges
- Creator
- Khraisat, Ansam; Iqbal, Gondal; Vamplew, Peter; Kamruzzaman, Joarder
- Date
- 2019
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/172110
- Identifier
- vital:14431
- Identifier
-
https://doi.org/10.1186/s42400-019-0038-7
- Identifier
- ISBN:2523-3246
- Publisher
- Springer Nature
- Relation
- Cybersecurity Vol. 2 , no. 1 (2019), p. 1-22
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2020 BioMed Central Ltd unless otherwise stated. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Malware; Intrusion detection system; NSL_KDD; Anomaly detection; Machine learning
- Full Text
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