Dr. Muath Asmar and MBA Student Alia Touqan Publish Groundbreaking Research on AI-Driven Cybersecurity in Digital Banks
In a significant academic achievement, Dr. Muath Asmar from the Faculty of Business and Communication, in collaboration with MBA student Alia Touqan, has published a scientific paper in the Heliyon Journal, a highly respected publication under Elsevier. Their research, titled "Integrating Machine Learning for Sustaining Cybersecurity in Digital Banks," explores the role of artificial intelligence in strengthening cybersecurity measures in the digital banking sector. Notably, this study is an independent piece of research, not derived from any master’s thesis or graduation project.
The paper addresses the increasing cyber threats facing digital banks and offers a comprehensive analysis of how machine learning algorithms can be effectively integrated into security frameworks. By proposing an innovative model, the research highlights how digital banks can utilize machine learning to detect and mitigate cyber threats in real time, thereby improving the protection of both digital assets and sensitive customer data.
The study’s findings emphasize the critical importance of adopting AI-driven approaches for digital banks. By implementing the proposed model, banks can enhance operational efficiency and bolster their cybersecurity defenses. Additionally, the research has broader implications for regulatory bodies, encouraging them to ensure financial system security while promoting innovation in the banking sector.
Furthermore, the study recommends that cybersecurity firms collaborate more closely with digital banks to develop cutting-edge, machine learning-based solutions, ultimately contributing to a safer and more stable financial environment.
For a detailed look at this pioneering research, access the full paper here:
Read the Study on ScienceDirect
DOI: 10.1016/j.heliyon.2024.e37571
