Detecting frauds and payment defaults on credit card data inherited with imbalanced class distribution and overlapping class problems: A systematic review

SN Kalid, KC Khor, KH Ng, GK Tong - IEEE Access, 2024 - ieeexplore.ieee.org
Credit card payments are one popular e-payment option apart from cash payments. Recent
reports show that credit card fraud and payment defaults are increasing annually and are …

Fraud Detection and Prevention in the Nigerian Financial Industry

IA Ayodeji - 2024 - search.proquest.com
The emergence of digital banking has led to an increase in transaction volume in Nigeria's
financial industry, resulting in a rise in fraud cases. This is gradually eroding trust in the …

Digital banking fortification: a real-time isolation forest architecture for detecting online transaction fraud

H Abbassi, SEL Mendili, Y Gahi - Engineering Research Express, 2024 - iopscience.iop.org
Since the use of the Internet has increased exponentially, numerous organizations,
including the financial industry, offer services online. As a result, financial scams are …

Financial Fraud Detection Using Deep Learning Techniques

A Dileep, A Karthik, GS Krishna… - 2023 International …, 2023 - ieeexplore.ieee.org
We live in a modern world where people often find it easy and are merely to go with the
cashless payments. This advancement in technology is very helpful but ill effects have its ill …

[PDF][PDF] A Review on Robust Credit Card Fraud Detection System Leveraging Big Data and Machine Learning

R Dorlikar, SW Mohod - 2024 - academia.edu
This review offers a detailed strategy to address the growing threat of credit card fraud in
today's digital landscape. By utilizing Big Data analytics alongside machine learning …

[PDF][PDF] The Investigation of Real-Time Credit Card Fraud Detection (RTCCFD) Based on Machine Learning and Apache Spark

J He - scitepress.org
This paper presents a comprehensive review of the advancements in Real-time Credit Card
Fraud Detection (RTCCFD), leveraging machine learning algorithms and Apache Spark …