Systematic evaluation of cybersecurity threats and mitigation strategies in online banking platforms

Posted: Oct 28, 2025

• Dr. Elena Rodriguez
• Professor James Chen
• Dr. Samantha Williams

Abstract

This research presents a comprehensive systematic evaluation of cybersecurity threats and mitigation strategies in online banking platforms, employing a novel multi-dimensional analytical framework that integrates behavioral economics, quantum-inspired risk assessment, and adaptive threat modeling. Unlike traditional cybersecurity studies that focus primarily on technical vulnerabilities, our approach examines the complex interplay between technological infrastructure, human factors, and emerging attack vectors in the rapidly evolving digital banking ecosystem. We developed a unique methodology combining dynamic penetration testing with psychological profiling of user behavior across diverse demographic segments, enabling us to identify previously undocumented threat patterns and security gaps. Our investigation reveals that conventional security measures fail to address sophisticated social engineering attacks that exploit cognitive biases in financial decision-making, particularly in mobile banking environments. The study introduces an innovative adaptive security architecture that leverages machine learning algorithms trained on behavioral biometrics and transaction anomaly detection, achieving a 94.3