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:
Sep. 13, 2022

Filed:

Sep. 19, 2018
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Nancy Cam-Winget, Mountain View, CA (US);

Subharthi Paul, San Jose, CA (US);

Blake Anderson, Chapel Hill, NC (US);

Saman Taghavi Zargar, Milpitas, CA (US);

Oleg Bessonov, San Jose, CA (US);

Robert Frederick Albach, Austin, TX (US);

Sanjay Kumar Agarwal, Fremont, CA (US);

Mark Steven Knellinger, Franklin, TN (US);

Assignee:

CISCO TECHNOLOGY, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 9/40 (2022.01); G06N 5/04 (2006.01); G06N 20/20 (2019.01); G06K 9/62 (2022.01); G06N 7/00 (2006.01); G06N 20/10 (2019.01); H04L 67/12 (2022.01); H04L 67/00 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06K 9/6257 (2013.01); G06K 9/6267 (2013.01); G06N 5/045 (2013.01); G06N 20/20 (2019.01); H04L 63/1416 (2013.01); H04L 63/1425 (2013.01); G06N 7/005 (2013.01); G06N 20/10 (2019.01); H04L 67/12 (2013.01); H04L 67/34 (2013.01);
Abstract

A trained model may be deployed to an Internet-of-Things (IOT) operational environment in order to ingest features and detect events extracted from network traffic. The model may be received and converted into a meta-language representation which is interpretable by a data plane engine. The converted model can then be deployed to the data plane and may extract features from network communications over the data plane. The extracted features may be fed to the deployed model in order to generate event classifications or device state classifications.


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