Synthetic online entity detection
AssigneeEquifax Inc.
InventorsRong Liu, Nian Yan, John D. Ray, JR., Sriram Tirunellayi
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AssigneeEquifax Inc.
InventorsRong Liu, Nian Yan, John D. Ray, JR., Sriram Tirunellayi
Estimating the term…
In some aspects, a computing system can detect synthetic identities based on attributes associated with online entities. The computing system can generate entity links between primary entity objects and a secondary entity object. The secondary entity object identifies a target consumer as a secondary entity for accounts identified by the primary entity objects. Attributes of the secondary entity object and attributes of the primary entity objects can be calculated and compared to determine an inconsistency between a combination of a name attribute value and an address attribute value of the secondary entity object as compared to the primary entity objects. A fraud warning indicating that the target consumer is likely to be a synthetic identity can be generated based on the inconsistency and other attributes of the target consumer, such as an inquiries attribute, a terminations attribute, a duration attribute, and so on.
A fraud detection computing system comprising:
A method that includes one or more processing devices performing operations comprising:
A non-transitory computer-readable storage medium having program code that is executable by a processor device to cause a computing device to perform operations, the operations comprising:
Dependencies are inferred from the claim text.