Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS)

H Ahmad, B Kasasbeh, B Aldabaybah… - International Journal of …, 2023 - Springer
Credit card fraud is a growing problem nowadays and it has escalated during COVID-19 due
to the authorities in many countries requiring people to use cashless transactions. Every …

[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 …

WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims

L Settipalli, GR Gangadharan - Expert Systems with Applications, 2023 - Elsevier
Fraud is an aggravating problem in the health insurance system, causing a substantial
increase in the cost of medical services. Many models have been developed using data …

[PDF][PDF] Fraud detection in ecommerce payment systems: The role of predictive ai in real-time transaction security and risk management

R Khurana - International Journal of Applied Machine Learning …, 2020 - researchgate.net
Ecommerce platforms need to assure transaction security in the face of rising challenges
and fraud attempts that are perilous for business and consumers alike. Predictive AI has …

[PDF][PDF] Credit Card Fraud Detection with Machine Learning and Big Data Analytics: A PySpark Framework Implementation

L Theodorakopoulos, A Theodoropoulou, F Zakka… - 2024 - preprints.org
This paper presents a comprehensive study on applying machine learning (ML) techniques
for realtime credit card fraud detection. With the increasing prevalence of credit card fraud …

Evaluating the computational advantages of the Variational Quantum Circuit model in Financial Fraud Detection

A Tudisco, D Volpe, G Ranieri, G Curato… - IEEE …, 2024 - ieeexplore.ieee.org
Home banking and digital payments diffusion has greatly increased in recent years. As a
result, fraud has also dramatically grown, resulting in the loss of billions of dollars worldwide …

Online banking fraud detection: A comparative study of cases from South Africa and Spain

J Phiri, T Lavhengwa, MA Segooa - South African Journal of …, 2024 - journals.co.za
Background The banking sector provides online banking to offer their customers convenient
and easy access to banking services. As most banking services are nowadays performed …

A convolutional neural network model for credit card fraud detection

ML Gambo, A Zainal, MN Kassim - … International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, online transactions through various ecommerce platforms are becoming more
prevalent, and Credit Card (CC) is significantly used in various online transactions …

A Multi-Modal Profiling Fraud-Detection System for Capturing Suspicious Airline Ticket Activities

MT Aras, MA Guvensan - Applied Sciences, 2023 - mdpi.com
Although the most widely studied datasets in fraud-detection systems belong to the banking
sector, the aviation industry is susceptible to fraud activities that seriously harm airline …

A comparison of data balancing techniques for credit card fraud detection using neural network

AK Uttam, G Sharma - 2021 Fifth International Conference on I …, 2021 - ieeexplore.ieee.org
This research study has employed an unequalled credit card dataset and evaluated several
approaches of data balancing by using a basic neural network-based model with only one …