Implementation of an intrusion detection system based on self organizing map

The main purpose of this study is to identify a methodology to validate the effectiveness of an Intrusion Detection Systems proposed in three phases (selection, training and classification) using FDR to feature selection and Self Organizing Maps to training-classification. Therefore, initially are c...

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Autores:

De-La-Hoz-Franco, Emiro
Ortiz García, Andrés
Ortega Lopera, Julio
De La Hoz Correa, Eduardo Miguel
Mendoza Palechor, Fabio Enrique

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:11323/3253

Acceso en línea:

https://hdl.handle.net/11323/3253
https://repositorio.cuc.edu.co/

Palabra clave:

Intrusion detection system – IDS
Self-organizing map – SOM
Fisher’s discriminant rate – FDR
Gaussian mixture model (GMM)
Dataset NSL-KDD
Sistema de detección de intrusos - IDS
Mapa autoorganizado - SOM
Tasa discriminaste de fisher - FDR
Mezcla gaussiana modelo (GMM)
Conjunto de datos NSL-KDD

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-sa/4.0/