Understanding and Detecting International Revenue Share Fraud
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Internet Society
Cited by 6 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. "Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15
2. Investigating Fraud and Misconduct in Legitimate Internet Economy based on Customer Complaints;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
3. Telecommunications Fraud Machine Learning-based Detection;2023 4th International Conference on Data Analytics for Business and Industry (ICDABI);2023-10-25
4. International revenue share fraud prediction on the 5G edge using federated learning;Computing;2023-03-31
5. A federated machine learning approach to detect international revenue share fraud on the 5G edge;Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing;2022-04-25
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