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:
Jul. 16, 2024

Filed:

Sep. 17, 2021
Applicant:

Visa International Service Association, San Francisco, CA (US);

Inventors:

Shi Cao, Austin, TX (US);

Shubham Agrawal, Round Rock, TX (US);

Chiranjeet Chetia, Round Rock, TX (US);

Claudia Carolina Barcenas Cardenas, Austin, TX (US);

David Stoddard Lambertson, Seattle, WA (US);

Beatrice-Atena Faurescu, San Ramon, CA (US);

Assignee:

Visa International Service Association, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 20/40 (2012.01); G06T 7/00 (2017.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
G06Q 20/4016 (2013.01); G06T 7/97 (2017.01); H04L 63/1416 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Described are a system, method, and computer program product for breach detection using convolutional neural networks. The method includes receiving transaction data associated with a plurality of transactions completed in a first time period. The method also includes identifying a set of suspected fraudulent transactions of the plurality of transactions based on inputting at least one parameter of the transaction data into a fraud evaluation model. The method further includes generating an image comprising a field of points, wherein each point is associated with at least one transaction of the set of suspected fraudulent transactions, and wherein an x-axis position in the image of each point in the field of points is associated with a time subperiod of the first time period in which the at least one transaction occurred. The method further includes detecting a breach event by processing the image with a convolutional neural network (CNN) model.


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