LAW: Learning Automatic Windows for Online Payment Fraud Detection

IEEE Transactions on Dependable and Secure Computing(2021)

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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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