An Organizational Decision-Support System for Cybersecurity Risk Management: Classifying Breach Types Using XGBoost and Real-World Incident Data
A machine learning-based decision-support framework to classify cybersecurity breach types in financial institutions and to identify the organizational risk factors that determine them is developed and feature importance analysis reveals ATM/kiosk infrastructure and breach pattern as the strongest predictors.