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Enhancing Banking Cybersecurity: An Ensemble-Based Predictive Machine Learning Approach

Sharmin Sultana Akhi, Farhan Shakil, Sonjoy Kumar Dey, Mazharul Islam Tusher, Fnu Kamruzzaman, Sakib Salam Jamee, Sanjida Akter Tisha, Nabila Rahman

In this study, we propose a predictive cybersecurity framework for the banking sector by integrating ensemble-based machine learning models. Our approach leverages heterogeneous datasets—including internal firewall and intrusion detection system logs, banking transaction records, user behavior data, and external threat intelligence—to capture a…