LAW: Learning Automatic Windows for Online Payment Fraud Detection
IEEE Transactions on Dependable and Secure Computing(2021)
摘要
The rapid development of internet finance has caused increasing concern in online payment fraud due to its great threat. It is typical to employ rule systems or machine learning-based techniques to detect frauds. For the most significant features of such fraudulent transactions are exhibited in a sequential form, the sliding time window is a widely-recognized effective tool for this problem. With ...
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关键词
Learning automata,Predictive models,Feature extraction,Adaptation models,Computational modeling,Robustness,Heuristic algorithms
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