Multi-class decision system for categorizing industrial asset attack and fault types
Abstract
According to some embodiments, a plurality of monitoring nodes may each generate a series of current monitoring node values over time that represent a current operation of the industrial asset. A node classifier computer, coupled to the plurality of monitoring nodes, may receive the series of current monitoring node values and generate a set of current feature vectors. The node classifier computer may also access at least one multi-class classifier model having at least one decision boundary. The at least one multi-class classifier model may be executed and the system may transmit a classification result based on the set of current feature vectors and the at least one decision boundary. The classification result may indicate, for example, whether a monitoring node status is normal, attacked, or faulty.
- Inventors:
- Issue Date:
- Research Org.:
- General Electric Co., Schenectady, NY (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1651038
- Patent Number(s):
- 10686806
- Application Number:
- 15/681,827
- Assignee:
- General Electric Company (Schenectady, NY)
- Patent Classifications (CPCs):
-
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y04 - INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS Y04S - SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- DOE Contract Number:
- OE0000833
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 08/21/2017
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Abbaszadeh, Masoud, Mestha, Lalit Keshav, and Yan, Weizhong. Multi-class decision system for categorizing industrial asset attack and fault types. United States: N. p., 2020.
Web.
Abbaszadeh, Masoud, Mestha, Lalit Keshav, & Yan, Weizhong. Multi-class decision system for categorizing industrial asset attack and fault types. United States.
Abbaszadeh, Masoud, Mestha, Lalit Keshav, and Yan, Weizhong. Tue .
"Multi-class decision system for categorizing industrial asset attack and fault types". United States. https://www.osti.gov/servlets/purl/1651038.
@article{osti_1651038,
title = {Multi-class decision system for categorizing industrial asset attack and fault types},
author = {Abbaszadeh, Masoud and Mestha, Lalit Keshav and Yan, Weizhong},
abstractNote = {According to some embodiments, a plurality of monitoring nodes may each generate a series of current monitoring node values over time that represent a current operation of the industrial asset. A node classifier computer, coupled to the plurality of monitoring nodes, may receive the series of current monitoring node values and generate a set of current feature vectors. The node classifier computer may also access at least one multi-class classifier model having at least one decision boundary. The at least one multi-class classifier model may be executed and the system may transmit a classification result based on the set of current feature vectors and the at least one decision boundary. The classification result may indicate, for example, whether a monitoring node status is normal, attacked, or faulty.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {6}
}
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Works referenced in this record:
Intelligent Cyberphysical Intrusion Detection and Prevention Systems and Methods for Industrial Control Systems
patent-application, September 2014
- Dixit, Paritosh; Thanos, Daniel
- US Patent Application 13/801496; 20140283047
Methods and Systems for Data Collection and Intelligent Process Adjustment in an Industrial Environment
patent-application, February 2019
- Cella, Charles Howard; Duffy Jr., Gerald William; McGuckin, Jeffrey P.
- US Patent Application 16/152141; 20190041845
System and Method for Detecting a Cyber-Attack at SCADA/ICS Managed Plants
patent-application, September 2018
- Arov, Michael; Ochman, Ronen; Cohen, Moshe
- US Patent Application 15/989748; 20180276375
Using virtual sensors to accommodate industrial asset control systems during cyber attacks
patent-application, February 2019
- Mestha, Lalit Keshav; Achanta, Hema Kumari; John, Justin Varkey
- US Patent Application 15/683250; 20190068618
Automated Attack Localization and Detection
patent-application, June 2018
- Abbaszadeh, Masoud; Mestha, Lalit Keshav; Bushey, Cody
- US Patent Application 15/478425; 20180157831
Cyber Security
patent-application, August 2017
- Stockdale, Jack; Dunn, Matt
- US Patent Application 15/429062; 20170251012
Feature and Boundary Tuning for Threat Detection in Industrial Asset Control System
patent-application, June 2018
- Bushey, Cody Joe; Mestha, Lalit Keshav; John, Justin Varkey
- US Patent Application 15/371,905; 2018/0157838 Al
Systems and Methods for Remote Monitoring, Security, Diagnostics, and Prognostics
patent-application, September 2014
- Evans, Scott Charles; Arthur, Richard Brownell; Bouqata, Bouchra
- US Patent Application 13/848354; 20140289852
Production Process Knowledge-based Intrusion Detection for Industrial Control Systems
patent-application, September 2017
- Wei, Dong; Pfleger de Aguiar, Leandro; Martinez Canedo, Arquimedes
- US Patent Application 15/066289; 20170264629
System and methods for adaptive model generation for detecting intrusions in computer systems
patent, May 2007
- Honig, Andrew; Howard, Andrew; Eskin, Eleazar
- US Patent Document 7,225,343