Neural Network-Based Deep Learning for Online Payment Fraud Detection

Yu Xie (), Yue Tian (), Jiamin Yao () and Guanjun Liu ()
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Yu Xie: Shanghai Maritime University
Yue Tian: Tongji University, the Department of Computer Science
Jiamin Yao: Tongji University
Guanjun Liu: Tongji University, the Department of Computer Science

in Springer Books from Springer

Date: 2026
ISBN: 978-981-95-8513-7
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Chapters in this book:

Ch 1 Introduction

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 2 Foundations of Online Payment Fraud Detection and Deep Learning Models

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 3 Addressing Class Imbalance Through Time-Aware Generative Data Augmentation

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 4 A Hybrid Sampling and Distribution Refinement Method for Reducing Behavioral Overlap

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 5 Learning Fraud-Sensitive Transactional Representations via Attention and Temporal Modeling

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 6 Extending Representation Learning with Spatial-Temporal Modeling

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 7 Hierarchical Gated Networks for Deep Transactional Representation Learning

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 8 Capturing Transactional Behavioral Drift via Current-Historical Behavior Interaction

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 9 Graph Neural Network for Online Payment Fraud Detection

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

Ch 10 Spatial-Temporal-Aware Graph Transformer for Online Payment Fraud Detection

Yu Xie, Yue Tian, Jiamin Yao and Guanjun Liu

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DOI: 10.1007/978-981-95-8513-7

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