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A Novel Framework for Generating Personalized Network Datasets for NIDS Based on Traffic Aggregation

In this paper, we addressed the problem of dataset scarcity for the task of network intrusion detection. Our main contribution was to develop a framework that provides a complete process for generating network traffic datasets based on the aggregation of real network traces. In addition, we proposed...

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Principais autores: Pablo Velarde-Alvarado, Hugo Gonzalez, Rafael Martínez-Peláez, Luis J. Mena, Alberto Ochoa-Brust, Efraín Moreno-García, Vanessa G. Félix, Rodolfo Ostos
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-02-01
Serier:Sensors
Fag:
intrusion detection
network security
traffic generation
machine learning
unbalanced dataset
botnet detection
Online adgang:https://www.mdpi.com/1424-8220/22/5/1847
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