Anomaly-based intrusion detection system using multi-objective grey wolf optimisation algorithm-Reference-Cited by-同舟云学术

Anomaly-based intrusion detection system using multi-objective grey wolf optimisation algorithm

Published:2019-11-09 Issue:9 Volume:11 Page:3735-3756
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Alamiedy Taief Alaa,Anbar Mohammed^ORCID,Alqattan Zakaria N. M.,Alzubi Qusay M.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-019-01569-8.pdf

Reference46 articles.

1. Acharya N, Singh S (2018) An IWD-based feature selection method for intrusion detection system. Soft Comput 22:4407–4416. https://doi.org/10.1007/s00500-017-2635-2

2. Alamiedy TA, Anbar M, Al-Ani AK et al (2019) Review on feature selection algorithms for anomaly-based intrusion detection system. Adv Intell Syst Comput 843:605–619. https://doi.org/10.1007/978-3-319-99007-1_57

3. Alomari O, Othman ZA (2012) Bees algorithm for feature selection in network anomaly detection β-Hill climbing for optimization problems view project feature selection on high-dimensional data view project. Artic J Appl Sci Res 8:1748–1756

4. Alzubi QM, Anbar M, Alqattan ZNM et al (2019) Intrusion detection system based on a modified binary grey wolf optimisation. Neural Comput Appl 1:1–13. https://doi.org/10.1007/s00521-019-04103-1

5. Çavuşoğlu Ü (2019) A new hybrid approach for intrusion detection using machine learning methods. Appl Intell 49:2735–2761. https://doi.org/10.1007/s10489-018-01408-x

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