An Analysis of the Characteristics and Detection Techniques for Credit Card Fraudulent Transactions

Haojun Shi

2024

Abstract

With the rapid growth of the modern economy, credit cards have become more and more essential for daily transactions. At the same time, the rise in fraudulent activities poses significant financial risks, making it of critical importance for cardholders and merchants to implement effective detection measures. This paper reviews various machine learning and deep learning techniques aimed at accurately identifying fraudulent credit card transactions. It covers key aspects such as technology analysis, detailed feature extraction, algorithm selection, and the overall effectiveness of these methods. The discussion includes the strengths and weaknesses of different algorithms, particularly in handling imbalanced data and complex fraud patterns. Ultimately, this research offers insights for institutions seeking to enhance security, mitigate financial risks, and advance detection technology with innovative solutions. In the future, the research should focus on improving scalability and real-time detection capabilities to better address evolving fraud strategies, ultimately contributing to more secure financial ecosystems.

Paper Citation

in Harvard Style

Shi H. (2024). An Analysis of the Characteristics and Detection Techniques for Credit Card Fraudulent Transactions. In Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI; ISBN 978-989-758-726-9, SciTePress, pages 532-535. DOI: 10.5220/0013270000004568

in Bibtex Style

@conference{ecai24,
author={Haojun Shi},
title={An Analysis of the Characteristics and Detection Techniques for Credit Card Fraudulent Transactions},
booktitle={Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI},
year={2024},
pages={532-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013270000004568},
isbn={978-989-758-726-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI
TI - An Analysis of the Characteristics and Detection Techniques for Credit Card Fraudulent Transactions
SN - 978-989-758-726-9
AU - Shi H.
PY - 2024
SP - 532
EP - 535
DO - 10.5220/0013270000004568
PB - SciTePress