Results 81 to 90 of about 110,706 (190)
The aims of the study are to determine the legal arrangements and the application of criminal sanctions against the crime of credit/debit card fraud in Indonesia.
Antonius Maria Laot Kian
doaj
The Nielsen Report points out that credit card fraud caused business losses of USD 28.65 billion globally in 2019, with the US accounting for more than one-third of the high share, and that insufficient identification of credit card fraud has brought ...
Boyu Liu, Longrui Wu, Shengdong Mu
doaj +1 more source
A discrete choice approach to model credit card fraud [PDF]
This paper analyses the demographic, socio-economics and banking specific determinants that influence the risk of fraud in a portfolio of credit cards. The data are from recent account archives for cards issued throughout Italy.
Paba, Antonello, Pulina, Manuela
core +1 more source
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
ABSTRACT Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. We use a reasonable statistical model for the classifiers required to compute the Shapley value to provide repeatable and rigorous analysis in the anomaly localization application.
Rick S. Blum +2 more
wiley +1 more source
A Deep Learning Method of Credit Card Fraud Detection Based on Continuous-Coupled Neural Networks
With the widespread use of credit cards in online and offline transactions, credit card fraud has become a significant challenge in the financial sector. The rapid advancement of payment technologies has led to increasingly sophisticated fraud techniques,
Yanxi Wu +3 more
doaj +1 more source
The changing nature of U.S. card payment fraud: industry and public policy options [PDF]
As credit and debit card payments have become the primary payment instrument in retail transactions, awareness of identity theft and concerns over the safety of payments has increased. Traditional forms of card payment fraud are still an important threat,
Richard J. Sullivan
core
ABSTRACT Credit card fraud detection remains a challenging research problem due to the class imbalance issue caused by the rarity of fraudulent transactions. Classical oversampling techniques such as SMOTE, ADASYN and their variants help balance data but do not reflect the nonlinear structure of real‐world fraud, leading to poor generalization.
Sultan Alharbi +2 more
wiley +1 more source
Robust Credit Card Fraud Detection Based on Efficient Kolmogorov-Arnold Network Models
Credit card fraud detection remains a significant challenge in the financial industry, necessitating advanced models to identify fraudulent activities while minimizing false positives accurately.
Thi-Thu-Huong Le +3 more
doaj +1 more source
Credit Cards and Debit Cards in the United States and Japan [PDF]
This article examines differences in credit-card and debit-card usage between the United States and Japan. Although I do not doubt that social and psychological factors have some significance, I contend that four institutional factors also have useful ...
Mann, Ronald-J
core
Identity theft: do definitions still matter? [PDF]
Despite a statutory definition of identity theft, there is a continuing debate on whether differences among the financial frauds associated with identity theft warrant further distinction and treatment, not only by lenders and financial institutions but ...
Julia S. Cheney
core

