An ensemble learning based IDS using Voting rule: VEL-IDS

Intrusion detection systems (IDSs) analyze internet activities and traffic to detect potential attacks, thereby safeguarding computer systems. In this study, researchers focused on developing an advanced IDS that achieves high accuracy through the application of feature selection and ensemble learni...

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Detalles Bibliográficos
Autores principales: Emanet, Sura, Karatas Baydogmus, Gozde, Demir, Onder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557513/
https://www.ncbi.nlm.nih.gov/pubmed/37810337
http://dx.doi.org/10.7717/peerj-cs.1553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557513/
https://www.ncbi.nlm.nih.gov/pubmed/37810337
http://dx.doi.org/10.7717/peerj-cs.1553

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