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篇名 |
A Machine Learning Framework for Adaptive FinTech Security Provisioning
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並列篇名 | A Machine Learning Framework for Adaptive FinTech Security Provisioning |
作者 | Hyun Jung La、Soo Dong Kim |
英文摘要 | FinTech services bring an elevated level of security concerns due to the non-conventional characteristics such as diverse and evolving transaction models. Hence, conventional financial security provisioning approaches have limited applicability, rather, it requires more effective, intelligent, and reactive anomaly management for FinTech transactions. We present a comprehensive framework for managing FinTech transactions which utilizes machine learning-based intelligence in deriving anomaly detection models and adaptive FinTech security provision. And, we define a formal model of the anomaly management, and present a software framework implementing the model. |
起訖頁 | 1545-1553 |
關鍵詞 | FinTech、Transaction anomaly、Machine learning、Adaptive security |
刊名 | 網際網路技術學刊 |
期數 | 201809 (19:5期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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