Blockchain Technology: A Potential Defense Against Ransomware Attacks

This study evaluates the effectiveness of blockchain technology as a defense mechanism against ransomware attacks using advanced machine learning models. The models, including Random Forest, Logistic Regression, Support Vector Machine, Gradient Boosting, and XGBoost, exhibit varying accuracies, with Random Forest achieving the highest at 83 %, followed by Gradient Boosting at 82 % and XGBoost at 81%. The analysis is conducted using a dataset processed and analyzed in Jupyter Notebook. The results demonstrate the potential of blockchain technology to enhance cybersecurity by leveraging decentralization and data immutability.