AI-Driven Fraud Detection and Mitigation in e-Commerce Transactions-Reference-Cited by-同舟云学术

AI-Driven Fraud Detection and Mitigation in e-Commerce Transactions

Published:2022 Issue: Volume: Page:403-414
ISSN:2367-4512
Container-title:Proceedings of Data Analytics and Management
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Author:

Hasan Iqbal,Rizvi SAM

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6289-8_34

Reference20 articles.

1. Khan BUI, Olanrewaju RF, Baba AM, Langoo AA, Assad S (2017) A compendious study of online payment systems: past developments, present impact, and future considerations. Int J Advan Comput Sci Appl 8(8):256–271

2. Kedar MS (2015) Digital India new way of innovating India digitally. Int Res J Multi Stud 1(4):34–49

3. Lahiri A (2020) The great Indian demonetization. J Econ Perspect 34(1):55–74

4. Kou Y, Lu CT, Sirwongwattana S, Huang YP (2004) “Survey of fraud detection techniques.” In: IEEE international conference on networking, sensing and control, 2004

5. Gopal RK, Meher SK (2007) A rule-based approach for anomaly detection in subscriber usage pattern. Int J Math, Phys Eng Sci 1(3):396–399

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