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:
Mar. 10, 2026

Filed:

Mar. 30, 2023
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Bhavna Agrawal, Armonk, NY (US);

Robert Jeffrey Baseman, Brewster, NY (US);

Jeffrey Owen Kephart, Cortlandt Manor, NY (US);

Anuradha Bhamidipaty, Yorktown Heights, NY (US);

Elham Khabiri, Briarcliff Manor, NY (US);

Yingjie Li, Chappaqua, NY (US);

Srideepika Jayaraman, White Plains, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); H04L 41/0631 (2022.01); H04L 41/16 (2022.01); H04L 43/16 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); H04L 41/0631 (2013.01); H04L 41/065 (2013.01); H04L 41/16 (2013.01); H04L 43/16 (2013.01);
Abstract

Detecting and mitigating anomalous system behavior by providing a machine learning model comprising a knowledge graph depicting system entity relationships, and modeling behavioral correlations among system entities according to historical time-series data, receiving real-time time-series data for the system, detecting an anomalous system behavior in a system locale, according to the real-time time-series data, according to the machine learning model and multivariate sensor metrics, diagnosing the anomalous system behavior according to an upstream portion of the knowledge graph and a statistical behavior model for the system locale, and mitigating the anomalous behavior by deriving a recommended action according to the anomalous behavior and generating a work order to implement the recommended action.


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