Bayesian Classifiers in Intrusion Detection Systems

To be able to identify computer attacks, detection systems that are based on faults are not dependent on data base upgrades unlike the ones based on misuse. The first type of systems mentioned generate a knowledge pattern from which the usual and unusual traffic is distinguished. Within computer net...

Full description

Autores:
Mardini-Bovea, Johan
De-La-Hoz-Franco, Emiro
Molina Estren, Diego
Ariza Colpas, Paola Patricia
Ortíz, Andrés
Ortega, Julio
R. Cárdenas, César A.
COLLAZOS MORALES, CARLOS ANDRES
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6241
Acceso en línea:
https://hdl.handle.net/11323/6241
https://doi.org/10.1007/978-3-030-45778-5_26
https://repositorio.cuc.edu.co/
Palabra clave:
Naïve bayes
Bayesian networks
Feature selection
Rights
openAccess
License
CC0 1.0 Universal