Detecção de Malwares Android: datasets e reprodutibilidade

  • Taina Soares UNIPAMPA
  • Guilherme Siqueira UNIPAMPA
  • Lucas Barcellos UNIPAMPA
  • Renato Sayyed UNIPAMPA
  • Luciano Vargas UNIPAMPA
  • Gustavo Rodrigues UNIPAMPA
  • Joner Assolin UNIPAMPA
  • Jonas Pontes UFAM
  • Eduardo Feitosa UFAM
  • Diego Kreutz UNIPAMPA


Neste trabalho nós avaliamos uma amostra inicial de 38 trabalhos de pesquisa que utilizam aprendizado de máquina para detecção de malwares Android. Analisamos, em particular, o detalhamento e a disponibilidade dos datasets, que são cruciais para a validação e a reprodutibilidade do trabalho. Nossos resultados sugerem que 100% das pesquisas não são reprodutíveis por falta de informações e/ou acesso aos dados originais da pesquisa.


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SOARES, Taina et al. Detecção de Malwares Android: datasets e reprodutibilidade. In: ESCOLA REGIONAL DE REDES DE COMPUTADORES (ERRC), 19. , 2021, Charqueadas/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 43-48. DOI: