Network Anomaly Detection with Bayesian Self-Organizing Maps
The growth of the Internet and consequently, the number of interconnected computers through a shared medium, has exposed a lot of relevant information to intruders and attackers. Firewalls aim to detect violations to a predefined rule set and usually block potentially dangerous incoming traffic. How...
- Autores:
-
De-La-Hoz-Franco, Emiro
Ortiz García, Andrés
Ortega Lopera, Julio
De la Hoz Correa, Eduardo Miguel
Prieto Espinosa, Carlos Antonio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7247
- Acceso en línea:
- https://hdl.handle.net/11323/7247
https://doi.org/10.1007/978-3-642-38679-4_53
https://repositorio.cuc.edu.co/
- Palabra clave:
- Gaussian Mixture Model
Intrusion Detection System
Receiver Operating Curf Curve
Best Match Unit
Receiver Operating Curf
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International