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.
Patent No.:
Date of Patent:
Jul. 06, 2021
Filed:
Jan. 18, 2018
Applicant:
Nec Laboratories America, Inc., Princeton, NJ (US);
Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G05B 23/02 (2006.01); C23C 16/455 (2006.01); G06N 5/04 (2006.01); G06F 16/951 (2019.01); C07F 1/00 (2006.01); C07F 1/08 (2006.01); C07F 3/00 (2006.01); C07F 3/02 (2006.01); C07F 3/06 (2006.01); C07F 5/00 (2006.01); C07F 7/00 (2006.01); C07F 7/28 (2006.01); C07F 9/00 (2006.01); C07F 11/00 (2006.01); C07F 13/00 (2006.01); C07F 15/00 (2006.01); C07F 15/02 (2006.01); C07F 15/04 (2006.01); C07F 15/06 (2006.01); C23C 16/18 (2006.01); H01L 21/02 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); C07F 1/00 (2013.01); C07F 1/08 (2013.01); C07F 3/003 (2013.01); C07F 3/02 (2013.01); C07F 3/06 (2013.01); C07F 5/003 (2013.01); C07F 7/003 (2013.01); C07F 7/28 (2013.01); C07F 9/005 (2013.01); C07F 11/005 (2013.01); C07F 13/005 (2013.01); C07F 15/0046 (2013.01); C07F 15/025 (2013.01); C07F 15/045 (2013.01); C07F 15/065 (2013.01); C23C 16/18 (2013.01); C23C 16/45553 (2013.01); G05B 23/0218 (2013.01); G06F 16/951 (2019.01); G06N 5/045 (2013.01); H01L 21/02205 (2013.01);
Abstract
Systems and methods for automatically generating a set of meta-parameters used to train invariant-based anomaly detectors are provided. Data is transformed into a first set of time series data and a second set of time series data. A fitness threshold search is performed on the first set of time series data to automatically generate a fitness threshold, and a time resolution search is performed on the set of second time series data to automatically generate a time resolution. A set of meta-parameters including the fitness threshold and the time resolution are sent to one or more user devices across a network to govern the training of an invariant-based anomaly detector.