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[CREDIT CARD FRAUD DETECTION SYSTEM]
International Journal for Modern Trends in Science and Technology, 2020 It is essential that Visa organizations can distinguish false Mastercard exchanges so clients are not charged for things that they didn't buy. Such issues can be handled with Data Science and its significance, alongside Machine Learning, couldn't be more important.
Mittal, Pragya +3 more
openaire +2 more sources
On the Vulnerability of Smart Card Transactions [PDF]
, 2016 poster abstractAbstract: The number of non-cash transactions is increasing every year at a rapid pace because of the underlying flexibility in the payment mechanism and the improved reliability and protection offered by many networks and debit and ...
Tang, Lai Man
core
The Impact of Opt-In Privacy Rules on Retail Credit Markets: A Case Study of MBNA [PDF]
, 2003 U. S. privacy laws are increasingly moving from a presumption that consumers must object to ( opt out of) uses of personal data they wish to prohibit to a requirement that they must explicitly consent ( opt in ) to uses they wish to permit.
Cate, Fred H., Staten, Michael E.
core +2 more sources
The role of IT/IS in combating fraud in the payment card industry [PDF]
, 2009 The vast growth of the payment card industry (PCI) in the last 50 years has placed the industry in the centre of attention, not only because of this growth, but also because of the increase of fraudulent transactions.
Devos, Jan, Pipan, Igor
core +1 more source
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Big Data and Cognitive ComputingIn 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 +5 more
doaj +1 more source
A Review of Financial Accounting Fraud Detection based on Data Mining Techniques
, 2012 With an upsurge in financial accounting fraud in the current economic scenario experienced, financial accounting fraud detection (FAFD) has become an emerging topic of great importance for academic, research and industries.
Panigrahi, Prabin Kumar, Sharma, Anuj
core +1 more source
A Hybrid Deep Learning Ensemble Model for Credit Card Fraud Detection
IEEE AccessThe rising volume of online transactions has concurrently increased the incidence of credit card fraud, presenting severe challenges to financial institutions and consumers alike.
Emmanuel Ileberi, Yanxia Sun
doaj +1 more source
EXPLORING THE POTENTIAL OF FEDERATED LEARNING TO EMPOWER CREDIT CARD FRAUDULENT TRANSACTION DETECTION WITH DEEP LEARNING TECHNIQUES [PDF]
Proceedings on Engineering SciencesThe rapid expansion of communication systems and computing technology has led to a significant increase in both traditional and online credit card transactions. Unfortunately, this surge has also resulted in a corresponding rise in fraudulent activities,
Chanda Sekhar Kolli +5 more
doaj +1 more source
Applied SciencesThe prevalence of online transactions and extensive adoption of credit card payments have contributed to the escalation of credit card cyber fraud in modern society.
Eyad Btoush +3 more
doaj +1 more source
Electronic fraud detection in the U.S. Medicaid Healthcare Program: lessons learned from other industries [PDF]
, 2011 It is estimated that between $600 and $850 billion annually is lost to fraud, waste, and abuse in the US healthcare system,with $125 to $175 billion of this due to fraudulent activity (Kelley 2009).
Hillegersberg, Jos van +3 more
core +3 more sources