The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems

The pursuit to spot abnormal behaviors in and out of a network system is what led to a system known as intrusion detection systems for soft computing besides many researchers have applied machine learning around this area. Obviously, a single classifier alone in the classifications seems impossible...

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Detalles Bibliográficos
Autores principales: Iwendi, Celestine, Khan, Suleman, Anajemba, Joseph Henry, Mittal, Mohit, Alenezi, Mamdouh, Alazab, Mamoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249012/
https://www.ncbi.nlm.nih.gov/pubmed/32365937
http://dx.doi.org/10.3390/s20092559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249012/
https://www.ncbi.nlm.nih.gov/pubmed/32365937
http://dx.doi.org/10.3390/s20092559

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