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September 17, 2025International Journal for Research in Applied Science and Engineering Technology0 citations

Survey of Machine Learning Models for Fraud Detection in Credit Card Transactions

Fraud Detection in Financial Transactions: A Survey of Machine Learning Models and their Applications in Credit Card Security

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Authors

MRM RAMAlexey Markov

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Overview

This review discusses fraud detection in credit card transactions using machine learning, highlighting challenges and advancements.

Key Points

  • Machine learning models enhance fraud detection accuracy in financial transactions and address security issues.
  • Outstanding accuracy was achieved using ensemble methods, indicating their effectiveness against credit card fraud.
  • The review employs benchmark datasets to evaluate supervised and unsupervised learning methods for fraud detection.
  • Real-time processing and explainable AI are crucial for the development of advanced fraud detection systems.
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Cite This Study

R et al. (2025) studied this question.

synapsesocial.com/papers/68d45e4431b076d99fa5e260https://doi.org/10.22214/ijraset.2025.74201
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