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:
Feb. 01, 2022

Filed:

Sep. 18, 2017
Applicant:

Scianta Analytics, Llc, Delaray Beach, FL (US);

Inventors:

Michael E. Cormier, Delray Beach, FL (US);

Earl D. Cox, Delray Beach, FL (US);

William E. Thackrey, Delray Beach, FL (US);

Joseph McGlynn, Delray Beach, FL (US);

Harry Gardner, Delray Beach, FL (US);

Assignee:

Scianta Analytics LLC, Delray Beach, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); G06F 16/27 (2019.01); G06N 7/00 (2006.01); G06N 7/02 (2006.01); G06N 3/04 (2006.01); G06N 7/04 (2006.01); G06N 3/12 (2006.01); G06F 17/15 (2006.01); G06F 17/18 (2006.01); G05B 17/02 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01); G06F 16/27 (2019.01); G06N 3/0436 (2013.01); G06N 5/02 (2013.01); G06N 5/025 (2013.01); G06N 5/043 (2013.01); G06N 5/048 (2013.01); G06N 7/005 (2013.01); G06N 7/02 (2013.01); G06N 7/046 (2013.01); G06N 20/00 (2019.01); G05B 17/02 (2013.01); G06F 17/15 (2013.01); G06F 17/18 (2013.01); G06K 9/6269 (2013.01); G06K 9/6284 (2013.01); G06N 3/126 (2013.01);
Abstract

The present design is directed to a cognitive system including a receiver configured to receive a set of actors and associated actor information and receive assets and their associated asset information, a creation apparatus configured to create data dictionary entries for a taxonomy based on the set of actors and the assets and create a cognitive model using the data dictionary entries for a time period, and a computing apparatus configured to compute trust of the cognitive model as a fuzzy number and activate the cognitive model if trust of the cognitive model is above a cognitive model trust threshold. When the cognitive model is activated, the cognitive modeling system is configured to schedule a collection of tasks to run that perform regular extraction of actions from an original data source and perform at least one anomaly analysis associated with the cognitive model.


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