FS3E: uma Ferramenta para Execução e Avaliação de Métodos de Seleção de Características para Detecção de Malwares Android

• Estevão Costa UFAM
• Diego Kreutz UNIPAMPA https://orcid.org/0000-0003-0830-0238
• Vanderson Rocha UFAM https://orcid.org/0000-0003-3103-7749
• Luíza Leão UFAM https://orcid.org/0000-0003-1962-2873
• Sávio Sabóia UFAM http://orcid.org/0000-0002-0036-8425
• Nicolas Neves UFAM
• Eduardo Feitosa UFAM https://orcid.org/0000-0001-6401-3992

DOI: https://doi.org/10.5753/sbseg_estendido.2022.227041

Resumo

Atualmente, há dezenas de métodos sofisticados para a seleção de características de um dataset. Entretanto, é difícil encontrarmos a implementação para avaliar a qualidade dos métodos em conjuntos diversos de datasets. Como forma de apresentar uma primeira solução para esse problema, implementamos a FS3E, uma ferramenta para catalogar implementações e automatizar a avaliação de métodos sofisticados de seleção de características. Para demostrar a funcionalidade e utilidade da FS3E, implementamos e disponibilizamos também cinco métodos sofisticados de seleção de características para o domínio de detecção de malwares Android.

Palavras-chave: Seleção de Características, Métodos, Malware Android, Ferramenta

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