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Descripción
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| In this work we have realized a misuse detection system based on genetic algorithm (GA) approach. For evolving and testing new rules for intrusion detection the KDD99Cup training and testing dataset were used. To be able to process network data in real time, we have deployed principal component analysis (PCA) to extract the most important features of the data. In that way we were able to keep the high level of detection rates of attacks while speeding up the processing of the data. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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COMPUT ELECTR ENG |
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ISSN
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0045-7906 |
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Factor de impacto JCR
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0,13 |
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Información de impacto
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Volumen
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DOI
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Número de revista
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33 |
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Desde la página
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438 |
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Hasta la página
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451 |
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Mes
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SIN MES |
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Ranking
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