An Real Time E Commerce application to Find Credit Card Fraud

Authors

  • G Yagnadatta  Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India
  • Nitesh N  Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India
  • Mohit S  Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India
  • Padmini M S  Assistant Professor, Department of Computer Science and Engineering. The National Institute of Engineering, Mysore, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT21747

Keywords:

Credit card fraud detection, e-commerce platforms, and Machine learning algorithms

Abstract

Credit card fraud detection is one of the prominent problem in today's world. It is due to the extensive rise in both online and e-commerce transactions. The fraud happens when the users’ accessible card gets stolen from any unauthorized source or the use of credit card for fraudulent purposes. The present scenario is facing this kind of problem. So to detect the unethical activity, the credit card detection system was introduced. The main aim of this research is to focus on machine learning methods. So the algorithms used are unsupervised learning algorithms.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-08-30

Issue

Volume 7, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
G Yagnadatta, Nitesh N, Mohit S, Padmini M S, " An Real Time E Commerce application to Find Credit Card Fraud" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 4, pp.86-91, July-August-2021. Available at doi : https://doi.org/10.32628/CSEIT21747