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              <p>Aplicações de segurança como a detecção de anomalias e a mitigação de ataques precisam de monitoramento em tempo real para a diminuição dos riscos. Os tempos para o processamento das informações devem ser os menores possível para habilitar elementos de defesa. Este artigo apresenta um algoritmo rápido e eficiente de seleção de características para a classificação de tráfego baseado na correlação entre características.  Para a avaliação do algoritmo, é utilizado um conjunto de dados contendo mais de 16 tipos de ameaças, além de tráfego normal. O algoritmo desenvolvido escolhe um subconjunto otimizado de características que melhora a acurácia em mais do 11% com redução de até 100 vezes do tempo de processamento, quando comparado com algoritmos tradicionais de seleção e redução de características.</p>
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