The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 09, 2022

Filed:

Feb. 28, 2020
Applicant:

Mastercard Technologies Canada Ulc, Vancouver, CA;

Inventors:

John Hearty, Vancouver, CA;

Anton Laptiev, Vancouver, CA;

Hanhan Wu, Surrey, CA;

Carrie Kai Lai Cheung, Burnaby, CA;

Sik Suen Chan, Richmond, CA;

Parin Prashant Shah, Vancouver, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); G06F 21/31 (2013.01); G06F 21/55 (2013.01); G06Q 10/10 (2012.01); G06Q 20/02 (2012.01); G06Q 20/40 (2012.01); G06Q 40/02 (2012.01); G06Q 50/26 (2012.01); H04L 9/40 (2022.01); H04L 67/50 (2022.01); H04L 67/306 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/0185 (2013.01); G06F 11/302 (2013.01); G06F 11/3438 (2013.01); G06F 21/316 (2013.01); G06F 21/554 (2013.01); G06Q 10/10 (2013.01); G06Q 20/027 (2013.01); G06Q 20/4016 (2013.01); G06Q 20/4093 (2013.01); G06Q 20/4097 (2013.01); G06Q 20/40145 (2013.01); G06Q 40/025 (2013.01); G06Q 50/265 (2013.01); H04L 63/1425 (2013.01); H04L 63/1433 (2013.01); H04L 67/22 (2013.01);
Abstract

A fraud prevention system that includes a fraud prevention server including an electronic processor and a memory. The memory includes a feature drift hardened online application origination (OAO) service. When executing the feature drift hardened OAO service, the electronic processor is configured to detect, with respect to a first OAO model, feature drift in a dataset of an online application that exceeds a predefined threshold, generate one or more feature drift hardened OAO models that mitigate the feature drift, determine a fraud score of the online application based on the one or more feature drift hardened OAO models that differentiates between a behavior of a normal user and a behavior of a nefarious actor during a submission of the online application on a device and mitigates the feature drift, and control a client server to approve, hold, or deny the online application based on the fraud score.


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