£106.00

Springer Anti-Fraud Engineering for Digital Finance Book

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Description

Protect digital financial systems with a new perspective on security. This book from Springer introduces the behavioral modeling paradigm to address the growing challenges of fraud in the digital age. It specifically addresses the issues of low-quality and insufficient behavior data, offering a unified approach that combines technology, specific scenarios, and data to improve anti-fraud performance. Instead of attempting to replace your current security measures, this book proposes a non-intrusive second security line. This approach works alongside existing solutions to provide an extra layer of protection. By examining common weaknesses across typical fields, the text provides a framework that supports behavioral modeling across many different applications. It is a practical resource for understanding how to strengthen digital finance through better data utilization and behavioral analysis.

Key Features

Introduces the behavioral modeling paradigm to help solve modern anti-fraud challenges in digital finance.

Addresses the problem of low-quality and insufficient behavior data to improve detection accuracy.

Provides a unified perspective by combining technology, scenarios, and data for better performance.

Acts as a non-intrusive second security line designed to work with your existing solutions.

Supports a wide array of applications by studying common weaknesses in typical financial fields.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 December 2023
Listed Since
30 June 2023

Barcode

No barcode data available

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