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:
Dec. 03, 2024

Filed:

Jun. 20, 2023
Applicant:

Phy Wireless, Llc, San Diego, CA (US);

Inventors:

Steven C. Thompson, Solana Beach, CA (US);

Raphael Mall, San Diego, CA (US);

Neal Riedel, Carlsbad, CA (US);

Steven J. Caliguri, San Diego, CA (US);

Zane Rau, San Diego, CA (US);

Assignee:

PHY Wireless, LLC, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 5/02 (2010.01); G01C 21/00 (2006.01); G01S 5/06 (2006.01); G01S 5/14 (2006.01); G06F 18/2134 (2023.01); G06F 18/2415 (2023.01); H04B 17/327 (2015.01); H04W 4/029 (2018.01); H04W 64/00 (2009.01);
U.S. Cl.
CPC ...
G01S 5/0236 (2013.01); G01C 21/3815 (2020.08); G01S 5/021 (2013.01); G01S 5/0244 (2020.05); G01S 5/0246 (2020.05); G01S 5/02524 (2020.05); G01S 5/0257 (2013.01); G01S 5/0268 (2013.01); G01S 5/0284 (2013.01); G01S 5/06 (2013.01); G01S 5/14 (2013.01); G06F 18/21342 (2023.01); G06F 18/2415 (2023.01); H04B 17/327 (2015.01); H04W 4/029 (2018.02); H04W 64/00 (2013.01); H04W 64/003 (2013.01);
Abstract

This disclosure provides systems, methods and apparatuses for classifying traffic flow using a plurality of learning machines arranged in multiple hierarchical levels. A first learning machine may classify a first portion of the input stream as malicious based on a match with first classification rules, and a second learning machine may classify at least part of the first portion of the input stream as malicious based on a match with second classification rules. The at least part of the first portion of the input stream may be classified as malicious based on the matches in the first and second learning machines.


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