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Memorias de investigación
Ponencias en congresos:
Evaluating Sequential Combination of Two Light-Weight Genetic Algorithm based Solutions to Intrusion Detection
Año:2008
Áreas de investigación
  • Industria electrónica
Datos
Descripción
In this work we have presented a genetic algorithm approach for classifying normal connections and intrusions. We have created a serial combination of two light-weight genetic algorithm-based intrusion detection systems where each of the systems exhibits certain deficiency. In this way we have managed to mitigate the deficiencies of both of them. The model was verified on KDD99 intrusion detection dataset, generating a solution competitive with the solutions reported by the state-ofthe-art, while using small subset of features from the original set that contains forty one features. The most significant features were identified by deploying principal component analysis and multi expression programming. Furthermore, our system is adaptable since it permits retraining by using new data.
Internacional
Si
Nombre congreso
International Workshop on Computational Intelligence in Security for Information Systems, CISIS'08
Tipo de participación
960
Lugar del congreso
Génova (Italia)
Revisores
Si
ISBN o ISSN
1615-3871
DOI
Fecha inicio congreso
23/10/2008
Fecha fin congreso
24/10/2008
Desde la página
0
Hasta la página
0
Título de las actas
Advances in Soft Computing, Springer
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Zorana Bankovic . (UPM)
  • Autor: Slobodan Bojanic Antonijevic (UPM)
  • Autor: Octavio Nieto-Taladriz Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica
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