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Memorias de investigación
Ponencias en congresos:
Multiclass Network Attack Classifier Using CNN Tuned with Genetic Algorithms
Año:2018
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Intrusion Detection Systems (IDS) are implemented by service providers and network operators to monitor and detect attacks to protect their infrastructures and increase the service availability. Many machine learning algorithms, standalone or combined, have been proposed, including different types of Artificial Neural Networks (ANN). This work evaluates a Convolutional Neural Network (CNN), created for image classification, as a multiclass network attack classifier that can be deployed in a router. A Genetic Algorithm (GA) is used to find a high-quality solution by rearranging the layout of the input features, reducing the amount of different features if required. The tests have been done using two different public datasets with different ratio of attacks: UNSW (10 classes) and NSL-KDD (4 classes). Both classifiers distinguish correctly normal traffic from attack. However, in order to correctly classify the attack, the latter works better because it can be proportionate between the different classes, obtaining a cross-validated multi-class classifier with K of 0.95.
Internacional
Si
Nombre congreso
International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)
Tipo de participación
960
Lugar del congreso
Platja d'Aro
Revisores
Si
ISBN o ISSN
978-1-5386-6365-3
DOI
10.1109/PATMOS.2018.8463997
Fecha inicio congreso
02/07/2018
Fecha fin congreso
04/07/2018
Desde la página
177
Hasta la página
182
Título de las actas
Proceedings 2018 28th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Roberto Blanco Andres (UPM)
  • Autor: Pedro Jose Malagon Marzo (UPM)
  • Autor: Juan Jesús Cilla Ugarte (UPM)
  • Autor: Jose Manuel Moya Fernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Centro o Instituto I+D+i: Centro de Investigación en Simulación Computacional
  • Departamento: Ingeniería Electrónica
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