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Ponencias en congresos:
Evaluating Sequential Combination of Two Light-Weight Genetic Algorithm based Solutions to Intrusion Detection

Año:2008

Áreas de investigación

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

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