How to Detect Fraud in Peer-to-Peer Networks Using Aura Graph Analytics
Learn how to detect fraud in peer-to-peer (P2P) financial networks using Neo4j Aura Graph Analytics. In this short video, you’ll see real-world examples of how to uncover hidden fraud rings using graph analytics, weakly connected components, and entity resolution techniques.
⚡ With billions in transactions flowing through P2P networks, traditional tools fall short in surfacing complex relationships between users. Aura Graph Analytics offers a scalable, serverless solution to detect suspicious activity faster and more accurately.
What you'll learn
- How to identify fraud using shared credit cards and IDs
- How to use weakly connected components for fraud detection
- Real-time graph projection and algorithm execution in AuraDB
- Why graph analytics outperform traditional SQL-based approaches
- How to uncover hidden connections and resolve entities
Resources mentioned
AuraDBFraud & security
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