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Research Article

A Comprehensive Approach to Safeguard Credit Card Transactions and Fraud Prevention

Manish Kumar1 Sushma Kumari2 Rinku Kumar3 Ajit Kumar4 Somnath Banerjee5 Kaustuv Bhattacharjee , Anirban Das6
1234567 Department of Computer Application, University of Engineering and Management, Kolkata, West Bengal, India.

Published Online: March-April 2024

Pages: 165-171

References

1. “Credit Card Fraud Detection Based on Transaction Behaviour -by John Richard D. Kho, Larry A. Vea” published by Proc. of the 2017
IEEE Region 10 Conference (TENCON), Malaysia, November 5-8, 2017
2. CLIFTON PHUA1, VINCENT LEE1, KATE SMITH1 & ROSS GAYLER2 “ A Comprehensive Survey of Data Mining-based Fraud
Detection Research” published by School of Business Systems, Faculty of Information Technology, Monash University, Wellington Road,
Clayton, Victoria 3800, Australia
3. “Survey Paper on Credit Card Fraud Detection by Suman” , Research Scholar, GJUS&T Hisar HCE, Sonepat published by International
Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 3, March 2014
4. “Research on Credit Card Fraud Detection Model Based on Distance Sum – by Wen-Fang YU and Na Wang” published by 2009
International Joint Conference on Artificial Intelligence
5. “Credit Card Fraud Detection through Parenclitic Network Analysis By Massimiliano Zanin, Miguel Romance, Regino Criado, and
SantiagoMoral” published by Hindawi Complexity Volume 2018, Article ID 5764370, 9 pages
6. “Credit Card Fraud Detection: ARealistic Modeling and a Novel Learning Strategy” published by IEEE TRANSACTIONS ON NEURAL
NETWORKS AND LEARNING SYSTEMS, VOL. 29, NO. 8, AUGUST 2018
7. “Credit Card Fraud Detection-by Ishu Trivedi, Monika, Mrigya, Mridushi” published by International Journal of Advanced Research
in Computer and Communication Engineering Vol. 5, Issue 1, January 2016
8. David J.Wetson,David J.Hand,M Adams,Whitrow and Piotr Jusczak “Plastic Card Fraud Detection using Peer Group Analysis”
Springer, Issue 2008.

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