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:
Feb. 15, 2022

Filed:

Mar. 18, 2020
Applicant:

Biocatch Ltd., Tel Aviv, IL;

Inventors:

Avi Turgeman, Cambridge, MA (US);

Oren Kedem, Tel Aviv, IL;

Assignee:

BIOCATCH LTD., Tel Aviv, IL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 20/40 (2012.01); H04L 29/06 (2006.01); G06F 21/31 (2013.01); G06F 21/55 (2013.01); G06F 21/32 (2013.01);
U.S. Cl.
CPC ...
G06Q 20/4016 (2013.01); G06F 21/31 (2013.01); G06F 21/316 (2013.01); G06F 21/32 (2013.01); G06F 21/552 (2013.01); G06F 21/554 (2013.01); H04L 63/08 (2013.01); H04L 63/1408 (2013.01); H04L 63/1441 (2013.01); G06F 2221/2133 (2013.01); H04L 2463/144 (2013.01);
Abstract

Devices, systems, and methods of contextual mapping of web-page elements and other User Interface elements, for the purpose of differentiating between fraudulent transactions and legitimate transactions, or for the purpose of distinguishing between a fraudulent user and a legitimate user. User Interface elements of a website or webpage or application or other computerized service, are contextually analyzed. A first User Interface element is assigned a low fraud-relatedness score-value, since user engagement with the first User Interface element does not create a security risk or a monetary exposure. A second, different, User Interface element is assigned a high fraud-relatedness score-value, since user engagement with the second User Interface element creates a security risk or a monetary exposure. The fraud-relatedness score-values are taken into account, together with user-specific behavioral characteristics, in order to determine whether to generate a possible-fraud notification, or as part of generating a possible-fraud score for a particular set-of-operations.


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