Federated Learning-Based Credit Card Fraud Detection: Performance Analysis with Sampling Methods and Deep Learning Algorithms-Reference-Cited by-同舟云学术

Federated Learning-Based Credit Card Fraud Detection: Performance Analysis with Sampling Methods and Deep Learning Algorithms

Published:2023-07-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Cyber Security and Resilience (CSR)
language:
Short-container-title:

Author:

Aurna Nahid Ferdous¹,Hossain Md Delwar¹,Taenaka Yuzo¹,Kadobayashi Youki¹

Affiliation:

1. Nara Institute of Science and Technology,Division of Information Science,Nara,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10224900/10224823/10224978.pdf?arnumber=10224978

Reference24 articles.

1. Credit card fraud detection using artificial neural network;asha;Global Transitions Proceedings,0

2. An efficient credit card fraud detection model based on machine learning methods;trivedi;International Journal of Advanced Science and Technology,2020

3. Credit Card Fraud Detection using Pipeling and Ensemble Learning

4. A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Credit card fraud detection based on federated graph learning;Expert Systems with Applications;2024-12

2. Federated Learning for Credit Card Fraud Detection: Key Fundamentals and Emerging Trends;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

3. Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review;IEEE Access;2024

4. Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions;IEEE Access;2024

5. A Comparative Analysis of SHAP, LIME, ANCHORS, and DICE for Interpreting a Dense Neural Network in Credit Card Fraud Detection;Communications in Computer and Information Science;2024