A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning
With the rise of digital payment methods and the growth in financial transactions, the issue of credit card fraud has become increasingly severe. Traditional fraud detection methods are currently facing challenges such as poor model performance, difficulty in obtaining accurate results, and limitati...
Saved in:
Main Authors: | Yuxuan Tang, Zhanjun Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10742353/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Credit card fraud detection through machine learning algorithm
by: Agyan Panda, et al.
Published: (2021-09-01) -
A systematic review of AI-enhanced techniques in credit card fraud detection
by: Ibrahim Y. Hafez, et al.
Published: (2025-01-01) -
Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention
by: Fawaz Khaled Alarfaj, et al.
Published: (2025-01-01) -
Multi-view graph neural network for fraud detection algorithm
by: Zhuo CHEN, et al.
Published: (2022-11-01) -
Optimizing Multilayer Perceptron with Cost-Sensitive Learning for Addressing Class Imbalance in Credit Card Fraud Detection
by: Wowon Priatna, et al.
Published: (2024-08-01)