Título: Classificacção de Ransomware utilizando Algoritmos de Machine Learning
Autores: Adriana Pinheiro, George Pereira, Caio Moreira and Claudomiro Júnior
Resumo:
Ransomware is a subset of malware that is growingas a serious cyber threat. This malicious software prevents orlimits users from accessing their system until the ransom is paid.The use of Machine Learning (ML) algorithms has been widelyused in automatic classification of these attacks. In this paper,we apply the Principal Component Analysis (PCA) techniqueas feature extraction intending to reduce dimensionality of thedataset, then we explore 11 ML algorithms in order to findthe best classifier for ransomware detection. Five comparisonmethods used in the literature were discussed. Nayes Bayesmethod achieved an Accuracy of 100% in one of the methods.
Palavras-chave:
Ransomware, classification, machine learning.
Páginas: 6
Código DOI: 10.21528/CBIC2021-156
Artigo em pdf: CBIC_2021_paper_156.pdf
Arquivo BibTeX: CBIC_2021_156.bib