A ransomware-risk classifier trained on real victim records plus synthetic safe and unsafe samples reaches 99% test accuracy, but the evaluation is circular because the synthetic labels are built from the same features the model uses.
Ransomware mitigation: An analytical investigation into the effects and trends of ransomware at- tacks on global business
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Assessing and Prioritizing Ransomware Risk Based on Historical Victim Data
A ransomware-risk classifier trained on real victim records plus synthetic safe and unsafe samples reaches 99% test accuracy, but the evaluation is circular because the synthetic labels are built from the same features the model uses.