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Anomaly detection using prior knowledge: application to TCP/IP traffic
Couchet, Jorge - Ferreira, Enrique - Manrique, Daniel - Carrascal, Alberto
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Objeto de conferencia, Objeto de conferencia |
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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…
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Fecha: |
2012-11-08 |
Recurso: |
Unversidad Nacional de La Plata |
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