18.4.3. Comparative Experiment

Three comparative experiments are conducted to address several problematic issues of machine learner-based anti-ransomware technology, such as the rich set of traits to classify ransomware, ransomware family attribution, and learning big and imbalanced corpora of data. The first comparative experiment is conducted to validate the efficacy of the proposed hybrid machine learner (HML) against sta...