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.
Cite
CITATION STYLE
Wang, Y. (2023). Application of Big Data Technology in Mobile Payment Security. Journal of Research in Social Science and Humanities, 2(12), 18–23. https://doi.org/10.56397/jrssh.2023.12.04
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