US 12,423,705 B2
Fingerprinting account activity habits in order to discover fraudulent usage
Bradley Carter Simons, Rosemount, MN (US); and Robert Driskill, Greenfield, MN (US)
Assigned to Surescripts, LLC, Arlington, VA (US)
Filed by Surescripts, LLC, Arlington, VA (US)
Filed on May 5, 2023, as Appl. No. 18/312,992.
Prior Publication US 2024/0370873 A1, Nov. 7, 2024
Int. Cl. G06Q 20/40 (2012.01)
CPC G06Q 20/4016 (2013.01) 20 Claims
OG exemplary drawing
 
1. A computing system for discovering fraudulent account usage, comprising:
at least one memory device that store executable program code; and
a processing system, comprising at least one processor, configured to receive and execute the program code to:
query a database to identify a list of accounts and transaction categories, the database comprising a history of transactions associated with each of the accounts;
generate a first table based on the transaction categories, the first table comprising an account identifier corresponding to each account in the list of accounts;
generate a second table by populating the first table with a first set of historical transactions associated with each of the account identifiers across each of the transaction categories over a first period of time;
generate a third table by populating the first table based at least on a response to querying the database for a second set of historical transactions associated with each of the account identifiers across each of the transaction categories over a second period of time;
for each of the account identifiers, generate a measure of similarity between the first set of historical transactions in the first table associated with the account identifier and the second set of historical transactions associated with the account identifier in the third table; and
for each account identifier with a corresponding measure of similarity below a threshold value, identify the account identifier as a fraudulent account candidate.