Breaking Credit Card Fraud Rings with Neo4j
summary
Uses Neo4j graph database to detect credit-card fraud rings by analyzing connections between accounts and identities rather than isolated data points; presents an approach that models stolen and synthetic identities as linked nodes to uncover fraud networks. The presenter draws on over a decade of IT experience and expertise with Neo4j, MongoDB, Microsoft tools, and agile practices.
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chapters (11)
- 0:00Introduction
- 4:16Synthetic account fraud
- 13:14Bank fraud detection
- 17:37Fraudulent account lifecycle
- 23:15Default and debt fraud
- 28:43Credit approval and risk
- 31:19Technical challenges
- 35:17Data migration and performance
- 40:28Neo4j atomic transactions
- 47:52Neo4j visualization features
- 51:18Backup and maintenance
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