A systematic review of literature on credit card cyber fraud detection using machine and deep learning [PDF]
PeerJ Computer Science, 2023 The increasing spread of cyberattacks and crimes makes cyber security a top priority in the banking industry. Credit card cyber fraud is a major security risk worldwide.
Eyad Abdel Latif Marazqah Btoush +5 more
doaj +4 more sources
Credit Card Fraud Detection Methods: A Review [PDF]
E3S Web of Conferences, 2023 In today’s context, the term “fraud” has become closely intertwined with credit card-related deceit. Recent years have witnessed a notable surge in both credit card utilization and fraudulent activities.
Pundkar Sumedh N., Zubei Mohd
doaj +2 more sources
Credit Card Fraud Detection using Decision Tree and Random Forest [PDF]
ITM Web of Conferences, 2023 It is the time of technology advancement. Due to internet everything is available at the touch of a finger. There is a benefit of online shopping: first it saves lots of time and second it does not demand to go to market to buy anything.
Shah Dhwanir, Kumar Sharma Lokesh
doaj +2 more sources
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach [PDF]
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 +2 more sources
Enhancing credit card fraud detection with a stacking-based hybrid machine learning approach. [PDF]
PeerJ Comput SciThe swift progression of technology has increased the complexity of cyber fraud, posing an escalating challenge for the banking sector to reliably and efficiently identify fraudulent credit card transactions.
Marazqah Btoush EAL +4 more
europepmc +2 more sources
Factors influencing the effectiveness of credit card fraud prevention in Indonesian issuing banks [PDF]
Banks and Bank Systems, 2023 The increase in online credit card transactions in the digital era has caused an increase in credit card cyber incidents. This is happening globally, including in Indonesia.
Yuli Dewi +3 more
doaj +1 more source
Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network
Systems, 2023 In recent years, with the rapid development of Internet technology, the number of credit card users has increased significantly. Subsequently, credit card fraud has caused a large amount of economic losses to individual users and related financial ...
Shanshan Jiang +3 more
doaj +1 more source
A machine learning based credit card fraud detection using the GA algorithm for feature selection
Journal of Big Data, 2022 The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
doaj +1 more source
Comparative analysis of binary and one-class classification techniques for credit card fraud data
Journal of Big Data, 2023 The yearly increase in incidents of credit card fraud can be attributed to the rapid growth of e-commerce. To address this issue, effective fraud detection methods are essential. Our research focuses on the Credit Card Fraud Detection Dataset, which is a
Joffrey L. Leevy +2 more
doaj +1 more source
An intelligent approach for anomaly detection in credit card data using bat optimization algorithm
Inteligencia Artificial, 2023 As technology advances, many people are utilising credit cards to purchase their necessities, and the number of credit card scams is increasing tremendously.
Haseena Sikkandar +3 more
doaj +1 more source