E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
The e-commerce industry’s rapid growth, accelerated by the COVID-19 pandemic, has led to an alarming increase in digital fraud and associated losses. To establish a healthy e-commerce ecosystem, robust cyber security and anti-fraud measures are crucial. However, research on fraud detection systems h...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-06-01
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Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2023.9020023 |
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