Fraud detection and prevention in e-commerce: A systematic literature review

作者：

Highlights：

• This study reviews 64 articles on fraud detection and prevention for e-commerce.

• Fraud is more evident when discussing credit card usage and online payments.

• There is a lack of literature on fraud prevention strategies for e-commerce.

• Multi-Layer Perceptron and K-Nearest Neighbors are emerging algorithms in the field.

• There is a lack on automated bot detection strategies in e-commerce systems.

摘要

•This study reviews 64 articles on fraud detection and prevention for e-commerce.•Fraud is more evident when discussing credit card usage and online payments.•There is a lack of literature on fraud prevention strategies for e-commerce.•Multi-Layer Perceptron and K-Nearest Neighbors are emerging algorithms in the field.•There is a lack on automated bot detection strategies in e-commerce systems.

论文关键词：E-commerce,Fraud detection,Fraud prevention,Machine learning,Systematic literature review

论文评审过程：Received 27 August 2021, Revised 14 April 2022, Accepted 3 October 2022, Available online 13 October 2022, Version of Record 21 October 2022.

论文官网地址：https://doi.org/10.1016/j.elerap.2022.101207