Anomaly detection using prior knowledge: application to TCP/IP traffic

This article introduces an approach to anomaly intrusion detection based on a combination of supervised and unsupervised machine learning algorithms. The main objective of this work is an effective modeling of the TCP/IP network traffic of an organization that allows the detection of anomalies with...

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Detalles Bibliográficos
Autores principales: Couchet, Jorge, Ferreira, Enrique, Manrique, Daniel, Carrascal, Alberto
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
intrusion detection
false positive rates
self-organizing maps
Internet (e.g., TCP/IP)
Architectures
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23877
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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