Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection

Recently proposed methods in intrusion detection are iterating on machine learning methods as a potential solution. These novel methods are validated on one or more datasets from a sparse collection of academic intrusion detection datasets. Their recognition as improvements to the state-of-the-art i...

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Detalles Bibliográficos
Autores principales: D’hooge, Laurens, Verkerken, Miel, Wauters, Tim, De Turck, Filip, Volckaert, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960990/
https://www.ncbi.nlm.nih.gov/pubmed/36850444
http://dx.doi.org/10.3390/s23041846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960990/
https://www.ncbi.nlm.nih.gov/pubmed/36850444
http://dx.doi.org/10.3390/s23041846

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