Multistage Ensembled Classifier for Wireless Intrusion Detection System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08917-y.pdf
Reference32 articles.
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3. Mishra, P., Varadharajan, V., Tupakula, U., & Pilli, E. S. (2018). A detailed investigation and analysis of using machine learning techniques for intrusion detection. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/COMST.2018.2847722
4. Elhag, S., Fernández, A., Bawakid, A., Alshomrani, S., & Herrera, F. (2015). On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on intrusion detection systems. Expert Systems with Applications, 42, 193–202. https://doi.org/10.1016/j.eswa.2014.08.002
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