[PDF][PDF] Artificial intelligence in fraud prevention: Exploring techniques and applications challenges and opportunities

OA Bello, K Olufemi - Computer science & IT research journal, 2024 - researchgate.net
In today's digital age, the proliferation of online transactions, e-commerce, and digital
banking has created new opportunities for fraudsters to exploit vulnerabilities in financial …

[PDF][PDF] Credit Card Fraud Detection Challenges and Solutions: A Review.

SS Sulaiman, I Nadher, SM Hameed - Iraqi Journal of Science, 2024 - iasj.net
Credit card fraud has become an increasing problem due to the growing reliance on
electronic payment systems and technological advances that have improved fraud …

GraphALM: Active Learning for Detecting Money Laundering Transactions on Blockchain Networks

Q Wang, WT Tsai, T Shi - IEEE Network, 2024 - ieeexplore.ieee.org
In recent years, the decentralization, anonymity, and cross-border capabilities of
cryptocurrencies have significantly increased their use in money laundering activities. In an …

A Robust and Efficient Machine Learning Approach for Identifying Fraud in Credit Card Transaction

H Rathore, R Ratnawat - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
The rise in credit card fraud in this age of technological advancements calls for the creation
of trustworthy and efficient detection systems. This work investigates how to enhance credit …

Machine Learning Methods for Credit Card Fraud Detection: A Survey

KG Dastidar, O Caelen, M Granitzer - IEEE Access, 2024 - ieeexplore.ieee.org
The widespread adoption of online payments has been accompanied by a significant
increase in fraudulent activities, resulting in billions of dollars in financial losses. As payment …

Hybrid Neural Network Methods for the Detection of Credit Card Fraud

MA Al‐Khasawneh, M Faheem, DM Alsekait… - Security and …, 2025 - Wiley Online Library
The purpose of research on fraud detection is to discover methods that are superior and
more effective in detecting fraudulent activity. Because of the difficulties that are associated …

Novel embedding model predicting the credit card's default using neural network optimized by harmony search algorithm and vortex search algorithm

T Xu, M Qu - Heliyon, 2024 - cell.com
In today's banking and financial system, using a credit card has become indispensable. The
credit card industry has existed due to a shift in consumer preferences and a rise in national …

Fraud Detection in Financial Transactions: A Machine Learning Approach

S Patel, M Pandey, D Rajeswari - 2024 Ninth International …, 2024 - ieeexplore.ieee.org
Financial fraud presents substantial risks to individuals and financial institutions globally,
necessitating efficient detection mechanisms to mitigate probable fatalities. In this study, the …

ELCCFD: An Efficient and Enhanced Credit Card Fraud Detection using Enhanced Deep Learning Principle

P Potluri, S Suneel, B Chandra… - … on Image Processing …, 2024 - ieeexplore.ieee.org
Credit card fraud poses a serious threat to financial institutions and their customers; hence,
stringent detection protocols are necessary. This study introduces an approach known as …

Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives

D Lunghi, A Simitsis, O Caelen… - Proceedings of the Second …, 2023 - dl.acm.org
Data economy relies on data-driven systems and complex machine learning applications
are fueled by them. Unfortunately, however, machine learning models are exposed to …