SYSTEMS AND METHODS FOR FRAUD DETECTION VIA INTERACTIVE LINK ANALYSIS

摘要

Fraud detection is facilitated by developing account cluster membership rules and converting them to database queries via an examination of linkage clusters abstracted from the customer database. The account membership rules are based upon certain observed data patterns associated with potentially fraudulent activity. In one embodiment, account clusters are grouped around behavior patterns exhibited by imposters. The system then identifies those clusters exhibiting a high probability of fraud and builds cluster membership rules for identifying subsequent accounts that match those rules. The rules are designed to define the parameters of the identified clusters. When the rules are deployed in a transaction blocking system, when a rule pertaining to an identified fraudulent cluster is triggered, the transaction blocking system blocks the transaction with respect to new users who enter the website.