Application of Big Data Technology in Mobile Payment Security

Authors

  • Yongguan Wang Universiti Sains Malaysia, Malaysia

Keywords:

big data analytics, mobile payment security, fraud detection, cybersecurity, machine learning, data privacy, financial transactions

Abstract

The rapid growth in mobile technologies, particularly mobile payment platforms, has led to increased risks of fraudulent activities. This paper investigates how big data analytics can enhance fraud detection mechanisms in mobile payment systems. The research question explored is: “How do big data analytics enhance fraud detection mechanisms in mobile payment platforms?” The study adopts a quantitative approach to understand the correlation and impact of big data analytics on fraud detection mechanisms, analyzing detailed records of financial transactions and publicly available databases. The paper addresses current gaps in research regarding the utilization of big data analytics in mobile payment environments, highlighting the strategic importance of big data in fraud prevention and fortifying the defenses of mobile payment platforms against modern cyber threats.

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Published

2023-12-14

How to Cite

Yongguan Wang. (2023). Application of Big Data Technology in Mobile Payment Security. ournal of esearch in ocial cience and umanities, 2(12), 18–23. etrieved from https://www.pioneerpublisher.com/jrssh/article/view/597

Issue

Section

Articles