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. 13, 2020

Filed:

Jan. 03, 2017
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Masoud Abbaszadeh, Clifton Park, NY (US);

Cody Joe Bushey, Clifton Park, NY (US);

Lalit Keshav Mestha, North Colonie, NY (US);

Daniel Francis Holzhauer, Santa Clarita, CA (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06N 20/00 (2019.01); G05B 19/00 (2006.01); G05B 23/00 (2006.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G05B 19/00 (2013.01); G05B 23/00 (2013.01); G06N 20/00 (2019.01); H04L 63/1441 (2013.01);
Abstract

A threat detection model creation computer may receive a series of monitoring node values (representing normal and/or threatened operation of the industrial asset control system) and generate a set of normal feature vectors. The threat detection model creation computer may identify a first cluster and a second cluster in the set of feature vectors. The threat detection model creation computer may then automatically determine a plurality of cluster-based decision boundaries for a threat detection model. A first potential cluster-based decision boundary for the threat detection model may be automatically calculated based on the first cluster in the set of feature vectors. Similarly, the threat detection model creation computer may also automatically calculate a second potential cluster-based decision boundary for the threat detection model based on the second cluster in the set of feature vectors.


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