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:
Mar. 10, 2026

Filed:

Dec. 08, 2020
Applicant:

Barracuda Networks, Inc., San Jose, CA (US);

Inventor:

Fleming Shi, Scotts Valley, CA (US);

Assignee:

Barracuda Networks, Inc., Campbell, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1466 (2013.01); G06F 18/2148 (2023.01); G06N 20/00 (2019.01); H04L 63/102 (2013.01); H04L 63/1416 (2013.01);
Abstract

A new approach is proposed to support data filtering in machine learning (ML) to detect impersonation attacks. First, filters are applied to filter data or information collected from a user in order to extract features that are specific and/or unique for the identification of the user. The features extracted from the set of data are then used to train ML models configured to identify a set of key characteristics of electronic messages or web-based resources originated by the user. When a new electronic message or web-based resource purported to be from the user is intercepted, one or more of the trained ML models that are applicable are utilized to determine or predict if the newly intercepted electronic message or web-based resource is indeed originated by the user or is impersonated by an attacker under the same filtering criteria as training of the corresponding ML models.


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