A Novel Learning Strategy for Credit Card Fraud Detection

Authors

  • Prof. P. S. Gayake  Department Information Technology, Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Ikhe Varsha  Department Information Technology, Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Guldagad Rutuja  Department Information Technology, Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Bhore Pranjal  Department Information Technology, Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Labade Sujata  Department Information Technology, Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Training Module, Machine Learning, Logistic Regression, Authentications, Confidentiality, Transactions, Security System, Verification System, Credentials

Abstract

Card fraud detection is presently the most frequently occurring problem in the present world. This is due to the rise in both online transactions and e-commerce platforms. Credit card fraud generally happens when the card was stolen for any of the unauthorized purposes or even when the fraudster uses the credit card information for his use. In the present world, we are facing a lot of credit card problems. Credit card fraud detection is presently the most frequently occurring problem in the present world. This is due to the rise in both online transactions and e-commerce platforms. Credit card fraud generally happens when the card was stolen for any of the unauthorized purposes or even when the fraudster uses the credit card information for his use. In the present world, we are facing a lot of credit card problems. To detect the fraudulent activities the credit card fraud detection system was introduced. To detect the fraudulent activities the credit card fraud detection system was introduced. This project aims to focus mainly on machine learning algorithms. The algorithms used are Logistic regression algorithm.

References

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International Journal of Scientific Research in Science and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

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

How to Cite

[1]
Prof. P. S. Gayake, Ikhe Varsha, Guldagad Rutuja, Bhore Pranjal, Labade Sujata "A Novel Learning Strategy for Credit Card Fraud Detection" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 3, pp.244-250, May-June-2022.