Credit Card Fraud Detection Using Machine Learning Algorithms

Authors

  • Kavita Rani Panipat Institute of Engineering & Technology, Samalkha, Panipat, Haryana, India Author
  • Anjali Garg Panipat Institute of Engineering & Technology, Samalkha, Panipat, Haryana, India Author
  • Saba Zaidi Panipat Institute of Engineering & Technology, Samalkha, Panipat, Haryana, India Author
  • Kunal Saini Panipat Institute of Engineering & Technology, Samalkha, Panipat, Haryana, India Author
  • Sunidhi Panipat Institute of Engineering & Technology, Samalkha, Panipat, Haryana, India Author

DOI:

https://doi.org/10.21467/proceedings.7.6.48

Abstract

Targets of credit card fraud are plain and amiable. The growth of online payment methods brought about by e-commerce and a number of other websites has raised the possibility of online fraud. Researchers are using a range of machine learning techniques to identify and examine online transaction schemes as a result of an increase in fraud rates. The main objective of the project is to develop a novel fraud detection technique for streaming transaction data, which assigns cards to groups according to the number of transactions they complete, allowing for the analysis of past consumer transaction data and behavioral trends. The sliding window technique is then used to aggregate the transactions that cards from different groups have performed, allowing for the extraction of each group's unique behavioral style. After that, distinct classifiers are trained for every category. One of the best fraud prediction methods can then be chosen from among the classifiers with the highest rating score. A feedback system to address concept drift is the end product. The benefits and drawbacks of this tactic will be covered in this essayand the difficulties the same system faces.

References

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Published

2025-11-21

Issue

Vol. 7 No. 6 (2025): Proceedings of the 3rd International Conference on Artificial Intelligence, Machine Learning and Cybersecurity

Section

Articles

License

Creative Commons License

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

How to Cite

[1]
K. Rani, A. Garg, S. Zaidi, K. Saini, and Sunidhi, “Credit Card Fraud Detection Using Machine Learning Algorithms”, AIJR Proc., vol. 7, no. 6, pp. 418–423, Nov. 2025, doi: 10.21467/proceedings.7.6.48.