The Influence of Data Analytics-Based Approaches in Strengthening Multi-Factor Authentication for E-Commerce Fraud Detection
DOI:
https://doi.org/10.63682/jns.v14i15S.8853Keywords:
E-commerce fraud detection, Multi-Factor Authentication, Data analytics: Machine learning, Behavioral analysis, Cybersecurity, Online transactionsAbstract
The rapid development in E-Commerce has made buying easy for many people. So far, it also leases more complicated web scams in Multi-Factor Authentication (MFA) is known as a good solution to keep E-Commerce safe. But early MFA can't keep up with new trickeries. This study aspects of at behaviors analyses similar AI, trend checks, & rapid spotting can make MFA improved at stopping scams on E-Commerce. By characteristicat real performances and false acquisition information, this effort shows how tech boosts MFA choices, wrong alerts, & betters spot-on finds. The news shows accumulation analyses to MFA makes it safer.
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