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:
May. 12, 2020

Filed:

Oct. 18, 2017
Applicant:

Mastercard International Incorporated, Purchase, NY (US);

Inventors:

Dawid Nowak, Dublin, IR;

Ashley Waldron, Dublin, IR;

Laurie Nicoletti, White Plains, NY (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/31 (2013.01); H04L 29/06 (2006.01); H04L 29/08 (2006.01); G06N 3/02 (2006.01); H04W 12/06 (2009.01); H04W 12/00 (2009.01);
U.S. Cl.
CPC ...
G06F 21/316 (2013.01); G06N 3/02 (2013.01); H04L 63/08 (2013.01); H04L 63/205 (2013.01); H04L 67/306 (2013.01); H04W 12/0027 (2019.01); H04W 12/06 (2013.01); H04L 63/102 (2013.01);
Abstract

Systems and processes for automatically configuring user authentication rules for each of a plurality of users for use in transactions. A neural network engine receives first party preferences data from a first party computer that includes user authentication requirement criteria associated with a plurality of transaction types, and receives at least two of user behavior data, user historical data, authenticator data associated with a mobile device of the user, and mobile device metadata. The neural network engine then generates an output value based on this data, transmits the output value to a score comparator for comparison to a required score specified by the first party, and receives feedback data from the score comparator when the output value is not within a tolerance of the required score. When the output value is within the tolerance, then the neural network engine generates user authentication rules recommendations and transmits them to the first party computer.


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