Book description
Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.
Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.
With this book, you will:
- Examine current fraud attacks and learn how to mitigate them
- Find the right balance between preventing fraud and providing a smooth customer experience
- Share insights across multiple business areas, including ecommerce, banking, cryptocurrency, anti-money laundering, and ad tech
- Evaluate potential risks for a new vertical, market, or product
- Train and mentor teams by boosting collaboration and kickstarting brainstorming sessions
- Get a framework of fraud methods, fraud-fighting analytics, and data science methodologies
Publisher resources
Table of contents
- Foreword
- Preface
- I. Introduction to Fraud Analytics
- 1. Fraudster Traits
- 2. Fraudster Archetypes
- 3. Fraud Analysis Fundamentals
-
4. Fraud Prevention Evaluation and Investment
- Types of Fraud Prevention Solutions
- Building a Research Analytics Team
- Collaborating with Customer Support
- Measuring Loss and Impact
- Justifying the Cost of Fraud Prevention Investment
- Interdepartmental Relations
- Data Analysis Strategy
- Fraud Tech Strategy
- Data Privacy Considerations
- Identifying and Combating New Threats Without Undue Friction
- Keeping Up with New Fraud-Fighting Tools
- Summary
- 5. Machine Learning and Fraud Modeling
- II. Ecommerce Fraud Analytics
- 6. Stolen Credit Card Fraud
-
7. Address Manipulation and Mules
-
So Many Different Ways to Steal
- Physical Interception of Package: Porch Piracy
- Physical Interception of Package: Convince the Courier
- Send Package to a Convenient Location: Open House for Fraud
- Send Package to a Convenient Location: Reshippers
- Remote Interception of Package: Convince Customer Support
- Remote Interception of Package: AVS Manipulation
- Mule Interception of Package
- More Advanced: Adding an Address to the Card
- More Advanced: Adding an Address to Data Enrichment Services
- More Advanced: Dropshipping Direct/Triangulation
- Identification and Mitigation
- Summary
-
So Many Different Ways to Steal
- 8. BORIS and BOPIS Fraud
- 9. Digital Goods and Cryptocurrency Fraud
- 10. First-Party Fraud (aka Friendly Fraud) and Refund Fraud
- III. Consumer Banking Fraud Analytics
- 11. Banking Fraud Prevention: Wider Context
- 12. Online Account Opening Fraud
- 13. Account Takeover
- 14. Common Malware Attacks
- 15. Identity Theft and Synthetic Identities
- 16. Credit and Lending Fraud
- IV. Marketplace Fraud
- 17. Marketplace Attacks: Collusion and Exit
- 18. Marketplace Attacks: Seller Fraud
- V. AML and Compliance Analytics
- 19. AntiâMoney Laundering and Compliance: Wider Context
- 20. Shell Payments: Criminal and Terrorist Screening
- 21. Prohibited Items
- 22. Cryptocurrency Money Laundering
- 23. Adtech Fraud
- 24. Fraud, Fraud Prevention, and the Future
- Index
- About the Authors
Product information
- Title: Practical Fraud Prevention
- Author(s):
- Release date: March 2022
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492093329
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