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Ransomware Detection via Ensemble Learning by Msik Mssi is a document available to read on EtoBox.

What is Ransomware Detection via Ensemble Learning about?

1) This document discusses a ransomware detection and classification model using an ensemble learning approach called Random Forest Tree. 2) The authors prepare and normalize the data, then implement their proposed Random Forest Tree model to classify ransomware and compare results to other models. 3) Their Random Forest Tree model achieved 99.9% accuracy in classifying ransomware, outperforming KNN and SVM algorithms. The authors conclude the Random Forest Tree approach is effective for ransomware class

Author

Msik Mssi

Language

EN