A MULTI-VIEW FRAUD DETECTION APPROACH FOR MULTI- PARTICIPANT E-COMMERCE TRANSACTIONS

Abstract

The rise of e-commerce has brought immense
convenience to consumers and businesses, but it has
also opened doors to fraudulent activities.
Traditional fraud detection systems often rely on
single-view analysis, where each transaction is
examined in isolation. This approach, however,
struggles to detect fraud that involves multiple
participants, such as buyers, sellers, payment
gateways, and logistics providers. As fraudsters
develop more sophisticated tactics, there is a
growing need for smarter, multi-perspective fraud
detection methods.