Feature selection, learning metrics and dimension reduction in training and classification processes in intrusion detection systems
This research presents an IDS prototype in Matlab that assess network traffic connections contained in the NSL-KDD dataset, comparing feature selection techniques available in FEAST toolbox, refining prior results applying dimension reduction technique ISOMAP. The classification process used a super...
- Autores:
-
Mendoza Palechor, Fabio
De la Hoz Manotas, Alexis Kevin
De-La-Hoz-Franco, Emiro
Ariza Colpas, Paola Patricia
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/711
- Acceso en línea:
- https://hdl.handle.net/11323/711
https://repositorio.cuc.edu.co/
- Palabra clave:
- System intrusion detection (IDS)
Feature selection toolbox (FEAST)
Isometric feature mapping ISOMAP
Support vector machine (SVM)
Principal component analysis (PCA)
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual