Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services-Reference-Cited by-同舟云学术

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Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services

Published:2022-01-01 Issue:1 Volume:19 Page:301-315
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Wang Cheng^ORCID,Zhu Hangyu^ORCID

Funder

National Natural Science Foundation of China

Ministry of Industry and Information Technology of China

Municipal Human Resources Development Program for Outstanding Young Talents in Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/9625881/09085905.pdf?arnumber=9085905

Cited by 16 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. OpenDrift: Online Evolving Fraud Detection for Open-Category and Concept-Drift Transactions;2023 IEEE International Conference on Web Services (ICWS);2023-07

2. LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph;IEEE Transactions on Big Data;2023-04-01

3. MRFS: Mining Rating Fraud Subgraph in Bipartite Graph for Users and Products;IEEE Transactions on Computational Social Systems;2023

4. Enabling Fraud Prediction on Preliminary Data Through Information Density Booster;IEEE Transactions on Information Forensics and Security;2023

5. Automating the Detection of Fraudulent Activities in Online Banking Service;Journal of Information Processing;2023

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