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:
Jan. 19, 2021

Filed:

Jul. 14, 2019
Applicant:

Biocatch Ltd., Tel Aviv, IL;

Inventors:

Uri Rivner, Mazkeret Batya, IL;

Avi Turgeman, Cambridge, MA (US);

Assignee:

BIOCATCH LTD., Tel Aviv, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/04 (2006.01); H04L 29/06 (2006.01); G06F 21/55 (2013.01); H04L 29/08 (2006.01); G06F 21/31 (2013.01); G06F 21/32 (2013.01); G06F 3/041 (2006.01); G06F 3/0488 (2013.01); G06Q 30/02 (2012.01); G06F 15/16 (2006.01); H04W 12/12 (2009.01);
U.S. Cl.
CPC ...
H04L 63/1458 (2013.01); G06F 3/041 (2013.01); G06F 3/0488 (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); G06Q 30/0248 (2013.01); G06Q 30/0277 (2013.01); H04L 63/08 (2013.01); H04L 63/10 (2013.01); H04L 63/1408 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01); G06F 2221/2133 (2013.01); H04L 2463/102 (2013.01); H04L 2463/144 (2013.01); H04W 12/12 (2013.01);
Abstract

System, device, and method for behaviorally validated link analysis, session linking, transaction linking, transaction back-coloring, transaction forward-coloring, fraud detection, and fraud mitigation. A method includes: receiving an indicator of a seed transaction known to be fraudulent; selecting, from a database of transactions, multiple transactions that share at least one common property with the seed transaction; generating a list of candidate fraudulent transactions; filtering the candidate fraudulent transactions, by applying a transaction filtering rule that is based on one or more behavioral characteristics; and generating a filtered list of candidate fraudulent transactions.


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