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. 27, 2025

Filed:

Jan. 17, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Matthew Sharifi, Kilchberg, CH;

Kai Wang, Santa Monica, CA (US);

David Petrou, Brooklyn, NY (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 21/31 (2013.01); G06F 21/36 (2013.01); G06N 20/00 (2019.01); H04W 4/029 (2018.01); H04W 12/06 (2021.01); H04W 12/126 (2021.01); H04W 12/30 (2021.01); H04W 4/80 (2018.01); H04W 12/10 (2021.01); H04W 12/63 (2021.01); H04W 12/68 (2021.01);
U.S. Cl.
CPC ...
H04L 63/083 (2013.01); G06F 21/316 (2013.01); G06F 21/36 (2013.01); G06N 20/00 (2019.01); H04W 4/029 (2018.02); H04W 12/06 (2013.01); H04W 12/126 (2021.01); H04W 12/30 (2021.01); H04L 63/102 (2013.01); H04W 4/80 (2018.02); H04W 12/10 (2013.01); H04W 12/63 (2021.01); H04W 12/68 (2021.01);
Abstract

Systems and methods are provided for a content-based security for computing devices. An example method includes identifying content rendered by a mobile application, the content being rendered during a session, generating feature vectors from the content and determining that the feature vectors do not match a classification model. The method also includes providing, in response to the determination that the feature vectors do not match the classification model, a challenge configured to authenticate a user of the mobile device. Another example method includes determining a computing device is located at a trusted location, capturing information from a session, the information coming from content rendered by a mobile application during the session, generating feature vectors for the session, and repeating this until a training criteria is met. The method also includes training a classification model using the feature vectors and authenticating a user of the device using the trained classification model.


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