Analysis of Cardholder Spending Behavior and Transaction Authentication to Enhance Credit Card Fraud Detection
Author:
Affiliation:
1. Howard University,Department of Electrical Engineering and Computer Science,Washington,DC,USA,20059
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459824.pdf?arnumber=10459824
Reference40 articles.
1. A comprehensive survey on machine learning techniques and user authentication approaches for credit card fraud detection;Yousefi;arXiv preprint,2019
2. A survey of machine-learning and nature-inspired based credit card fraud detection techniques
3. Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
4. Credit card fraud detection using machine learning: A study;Tiwari;CoRR,2021
5. Combining unsupervised and supervised learning in credit card fraud detection
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1. Efficiency of Federated Learning and Blockchain in Preserving Privacy and Enhancing the Performance of Credit Card Fraud Detection (CCFD) Systems;Future Internet;2024-06-02
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