Results 1 to 10 of about 2,431 (186)

Credit Card Fraud Detection

CoRR
Credit card fraud remains a significant challenge due to class imbalance and fraudsters mimicking legitimate behavior. This study evaluates five machine learning models - Logistic Regression, Random Forest, XGBoost, K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) on a real-world dataset using undersampling, SMOTE, and a hybrid approach. Our
Iva Popova, Hamza A. A. Gardi
  +29 more sources

Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach [PDF]

Big Data and Cognitive Computing
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor, John Adejoh   +5 more
doaj   +6 more sources

Credit card fraud detection using a hierarchical behavior-knowledge space model. [PDF]

PLoS ONE, 2022
With the advancement in machine learning, researchers continue to devise and implement effective intelligent methods for fraud detection in the financial sector.
Asoke K Nandi, Kuldeep Kaur Randhawa, Hong Siang Chua, Manjeevan Seera, Chee Peng Lim   +4 more
doaj   +2 more sources

Gated attention based generative adversarial networks for imbalanced credit card fraud detection [PDF]

PeerJ Computer Science
Credit card fraud detection is highly important to maintain financial security. However, it is challenging to train suitable models due to the class imbalance in credit card transaction data.
Jiangmeng Ge, Lanxiang Yin, Shiqing Zhang, Xiaoming Zhao   +3 more
doaj   +3 more sources

CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network [PDF]

PeerJ Computer Science, 2023
Credit card fraud can lead to significant financial losses for both individuals and financial institutions. In this article, we propose a novel method called CTCN, which uses Conditional Tabular Generative Adversarial Networks (CTGAN) and temporal ...
Xiaoyan Zhao, Shaopeng Guan
doaj   +3 more sources

HMOA-GNN: adaptive adversarial GraphSAGE with hierarchical hybrid sampling and metric-optimized graph construction for credit card fraud detection [PDF]

Scientific Reports
Accurate credit card fraud detection is vital for protecting financial systems and reducing economic losses. Graph neural networks (GNNs) have shown strong potential by capturing complex patterns in transaction networks.
Lina Ni, Xuqiang Li, Yuewei Zhou, Hang Qi, Xiaohui Man, Jinquan Zhang   +5 more
doaj   +2 more sources

Enhancing credit card fraud detection with a hybrid approach using machine and deep learning [PDF]

Scientific Reports
Credit card fraud is an important concern for banks, financial institutions and consumers, resulting in substantial financial losses annually. Traditional fraud detection systems are based on predefined rules, but as fraudsters develop more sophisticated
Nagwa Gamal, Eman M. G. Younis, Waleed M. Makram   +2 more
doaj   +2 more sources

CREDIT CARD FRAUD DETECTION

International Journal For Innovative Engineering and Management Research, 2022
Now a day’s online transactions have become an important and necessary part of our lives. It is vital that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
Prof. R. B. Gurav, Mrs. Shraavani Mandar Badhe, Mrs. Sakshi Nagtilak, Mr. Sarthak Pandit Sonawane, Mr. Siddhant Agarwal   +4 more
  +9 more sources

An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine

IEEE Access, 2020
New advances in electronic commerce systems and communication technologies have made the credit card the potentially most popular method of payment for both regular and online purchases; thus, there is significantly increased fraud associated with such ...
Altyeb Altaher Taha, Sharaf Jameel Malebary   +1 more
doaj   +3 more sources

Credit Card Fraud Detection in Card-Not-Present Transactions: Where to Invest?

Applied Sciences, 2021
Online shopping, already on a steady rise, was propelled even further with the advent of the COVID-19 pandemic. Of course, credit cards are a dominant way of doing business online.
Igor Mekterović, Mladen Karan, Damir Pintar, Ljiljana Brkić   +3 more
doaj   +3 more sources