Reducing false negatives in ransomware detection: a critical evaluation of machine learning algorithms

HIGHLIGHTS

  • who: Robert Bold and collaborators from the School of Engineering, Computing and Mathematical Sciences, University of Wolverhampton, Wolverhampton , LY, UK have published the research: Reducing False Negatives in Ransomware Detection: A Critical Evaluation of Machine Learning Algorithms, in the Journal: (JOURNAL)
  • what: This study has enabled the authors to address the following two key research questions: which error 3 of 22 parameters and evaluation matrices should be utilised by the state-of-the-art to discuss the reliability of ML models for the detection of ransomware, and_(2) which ML models offer reliability for the . . .

     

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