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Focusing on anti-fraud strategies in digital finance, this book explores the challenges of inadequate behavioral data and proposes a unified approach that integrates technology, scenarios, and data to enhance fraud prevention. It aims to establish a non-intrusive secondary security layer that complements existing solutions rather than replacing them. By examining common vulnerabilities across various fields, it supports the behavioral modeling paradigm and provides valuable insights for both researchers and industry professionals, highlighting the latest theoretical and experimental advancements.
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Anti-Fraud Engineering for Digital Finance, Cheng Wang
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- Pubblicato
- 2023
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