Anti-Fraud Engineering for Digital Finance: Behavioral Modeling Paradigm
Wang, Cheng
This book offers an introduction to the topic of anti-fraud in digital finance based on the behavioral modeling paradigm. It deals with the insufficiency and low-quality of behavior data and presents a unified perspective to combine technology, scenarios, and data for better anti-fraud performance. The goal of this book is to provide a non-intrusive second security line, rather than replaced with existing solutions, for anti-fraud in digital finance. By studying common weaknesses in typical fields, it can support the behavioral modeling paradigm across a wide array of applications. It covers the latest theoretical and experimental progress and offers important information that is just as relevant for researchers as for professionals.
श्रेणियाँ:
साल:
2023
संस्करण:
1
प्रकाशन:
Springer
भाषा:
english
पृष्ठ:
215
ISBN 10:
9819952573
ISBN 13:
9789819952571
फ़ाइल:
PDF, 7.40 MB
IPFS:
,
english, 2023