AI Revolutionizing E-commerce governance for Fraud Detection

Authors

  • S. Surendar Reddy, V. Aishwarya, P. G. N. K. Sai Pavan, Vishakha Roy, A. Gouthami

Keywords:

E-commerce Fraud Detection, Machine Learning, Gradient Boosting Classifier, Neural Networks, SMOTE, Online Transactions, Cybersecurity

Abstract

E-commerce in India has experienced rapid growth, with online shoppers projected to reach 175 million,driven by the expansion of digital payments and mobile transactions. Alongside this growth, fraudulent activities such as phishing and card testing have increased significantly, with ad fraud losses reachingUSD 1.63 billion in 2018, of which e-commerce accounted

References

Hasan, Iqbal, and S. A. M. Rizvi. "AI-driven fraud detection and mitigation in e-commerce transactions." In Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1, pp. 403-414. Springer Singapore, 2022.

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Published

2025-05-25

How to Cite

S. Surendar Reddy, V. Aishwarya, P. G. N. K. Sai Pavan, Vishakha Roy, A. Gouthami. (2025). AI Revolutionizing E-commerce governance for Fraud Detection . Journal of Computational Analysis and Applications (JoCAAA), 34(5), 416–428. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4621

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Section

Articles