Results 101 to 110 of about 34,999 (183)

Vulnerabilities in first-generation RFID-enabled credit cards [PDF]

Credit cards ; Radio frequency identification ...
Ari Juels, Daniel V. Bailey, Kevin Fu, Thomas S. Heydt-Benjamin, Tom O'Hare   +4 more
core  

Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles

AppliedMath
Credit card fraud detection remains a major challenge due to severe class imbalance and the constantly evolving nature of fraudulent behaviors. To address these challenges, this paper proposes a hybrid framework that integrates a Variational Autoencoder (
Ibomoiye Domor Mienye, Ebenezer Esenogho, Cameron Modisane   +2 more
doaj   +1 more source

Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection. [PDF]

Comput Intell Neurosci, 2023
Prabhakaran N, Nedunchelian R.
europepmc   +1 more source

RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. [PDF]

Sensors (Basel), 2022
Padhi BK, Chakravarty S, Naik B, Pattanayak RM, Das H.   +4 more
europepmc   +1 more source

Hyphatia: A Card-Not-Present Fraud Detection System Based on Self-Supervised Tabular Learning

IEEE Open Journal of the Computer Society
In order to conduct credit card fraud, having only the payment card information of the victim it is possible to fake its identity and buy on e-commerce platforms.
Josue Genaro Almaraz-Rivera, Jose Antonio Cantoral-Ceballos, Juan Felipe Botero, Francisco Javier MunOz, Brian David Martinez   +4 more
doaj   +1 more source

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

Int J Inf Technol, 2023
Ahmad H, Kasasbeh B, Aldabaybah B, Rawashdeh E.   +3 more
europepmc   +1 more source

Risky business: managing electronic payments in the 21st Century [PDF]

On June 20 and 21, 2005, the Payment Cards Center of the Federal Reserve Bank of Philadelphia, in conjunction with the Electronic Funds Transfer Association (EFTA), hosted a day-and-a-half forum, “Risky Business: Managing Electronic Payments in the 21st ...
Marilyn Bochicchio, Stanley Sienkiewicz
core  

Payments fraud: perception versus reality - a conference summary [PDF]

The authors highlight key issues from the presentations, keynote addresses, and open floor discussions at the Federal Reserve Bank of Chicago's eighth annual Payments Conference.
Katy Jacob, Tiffany Gates
core  

An Adaptive Unsupervised Learning Approach for Credit Card Fraud Detection

Big Data and Cognitive Computing
Credit card fraud remains a major cause of financial loss around the world. Traditional fraud detection methods that rely on supervised learning often struggle because fraudulent transactions are rare compared to legitimate ones, leading to imbalanced ...
John Adejoh, Nsikak Owoh, Moses Ashawa, Salaheddin Hosseinzadeh, Alireza Shahrabi, Salma Mohamed   +5 more
doaj   +1 more source

Machine Learning-Based Data Generative Techniques for Credit Card Fraud-Detection Systems

Mathematics
This study investigates the pressing issue of credit card fraud in the context of evolving e-commerce platforms and the necessity for improved fraud detection mechanisms.
Xiaomei Feng, Song-Kyoo Kim
doaj   +1 more source