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...
- 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