HIGHLIGHTS
- who: Samuel Ndichu and collaborators from the National Institute of Information and Communications Technology, Tokyo, JapanCenter for Mathematical and Data Sciences, Kobe University, Kobe, Japan have published the research: Detecting Web-Based Attacks with SHAP and Tree Ensemble Machine Learning Methods, in the Journal: (JOURNAL)
- what: This study proposes a feature selection and classification approach for malicious JS code content using Shapley additive explanations and tree ensemble methods. The authors focused on JS code content-based features to detect malicious websites. Since manual feature selection is a tedious task, even for domain experts, the authors . . .
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