The document discusses the challenges and benefits of using graph technologies like Linkurious and Neo4j for detecting ecommerce fraud, which includes various types such as identity theft and affiliate fraud. It highlights that ecommerce merchants lose an average of 1.39% of revenue to fraud, representing significant financial impact globally. The content includes introductory remarks, technical challenges, a demo, and a Q&A section, emphasizing the importance of advanced fraud detection methods.

2. ▪ Intro
▪ Graph technologies
▪ eCommerce Fraud
▪ Detection technical challenges
▪ Benefits of using Linkurious & Neo4j
▪ Demo
▪ How it works
▪ Use case
▪ Q&A
“
”
Elise is a Marketing Project
Manager at Linkurious. She works
with Linkurious' partners to cover the
emerging graph technology use
cases.
“
”

7. Friendly fraud
Affiliate fraud
Account takeover
Identity theft
Reshipping fraud
Promotion abuse
Phishing
Merchant fraud

8. eCommerce merchants
loose 1.39% of revenue to
fraud in average, which
accounts for billions of
dollars worldwide.
Juniper, ”Online payment fraud
whitepaper 2016-2020”.

9. Gartner Inc, “The conceptual model of a layered approach for fraud detection” in Market Guide, Online Fraud Detection: A Layered Approach

22. Bibliography :
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