EcomFraudEX: An Explainable Machine Learning Framework for Victim-Centric and Dual-Sided Fraud Incident Classification in E-Commerce

Farsi, Salman and Chowdhury, Mahfuzulhoq (2025) EcomFraudEX: An Explainable Machine Learning Framework for Victim-Centric and Dual-Sided Fraud Incident Classification in E-Commerce. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

The popularity of e-commerce businesses and online shopping is experiencing rapid growth all around the world. Nowadays, people are more inclined to shop online than in the actual shops. Due to this advancement, fraudsters have set new traps to deceive consumers. Whether it is true that customers of

Item Type: Article
Date Deposited: 04 Mar 2026 18:31
Last Modified: 10 Apr 2026 22:56
URI: http://eprints.eai.eu/id/eprint/52861

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