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:
Oct. 11, 2022

Filed:

Jul. 10, 2020
Applicant:

Arbor Networks, Inc., Westford, MA (US);

Inventors:

Justin William Haddad, Merrimack, NH (US);

Sean O'Hara, Ypsilanti, MI (US);

Assignee:

Arbor Networks, Inc., Westford, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/142 (2022.01); H04L 9/40 (2022.01); H04L 47/2441 (2022.01); G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
H04L 41/142 (2013.01); G06K 9/6256 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); H04L 47/2441 (2013.01); H04L 63/0236 (2013.01); H04L 63/104 (2013.01); H04L 63/105 (2013.01); H04L 63/306 (2013.01);
Abstract

A method and system for automatically classifying protected devices of a protected network to protection groups providing customized protection. The method includes accessing network flow information that includes network statistics processed from observed data obtained by packet interception devices, accessing at least one model that was trained using machine learning and a training data set of the network flow information to classify protected devices having addresses that correspond to destination addresses associated with the training data set to respective protection groups as a function of the network statistics that correspond to the training data set, and classifying a protected device that has an address that corresponds to a destination address associated with a portion of the network flow information to at least one of the protection groups using the at least one model and machine learning and as a function of the network statistics that correspond to the portion of the network flow information.


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