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Um Modelo de Composição de Detectores de Intrusão Heterogêneos Baseado em Conjuntos Difusos

Authors: Inez Freire Raguenet; Carlos Maziero;

Um Modelo de Composição de Detectores de Intrusão Heterogêneos Baseado em Conjuntos Difusos

Abstract

A capacidade de detecção de um IDS depende de diversos fatores, incluindo sua arquitetura interna e os algoritmos utilizados. Assim, detectores distintos poderão apresentar comportamentos distintos quando submetidos ao mesmo fluxo de eventos. A teoria de diversidade de projetos vem sendo usada com sucesso na área de tolerância a faltas e também pode trazer benefícios na área de detecção de intrusão. O objetivo deste artigo é propor uma modelagem matemática baseada na teoria de conjuntos difusos para a composição de detectores de intrusão heterogêneos que analisam o mesmo fluxo de eventos. Com esse modelo, busca-se combinar os resultados individuais de cada detector em um resultado global de melhor qualidade.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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