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Title: Dynamic concurrent learning method to neutralize cyber attacks and faults for industrial asset monitoring nodes

Abstract

Input signals may be received from monitoring nodes of the industrial asset, each input signal comprising time series data representing current operation. A neutralization engine may transform the input signals into feature vectors in feature space, each feature vector being associated with one of a plurality of overlapping batches of received input signals. A dynamic decision boundary may be generated based on the set of feature vectors, and an abnormal state of the asset may be detected based on the set of feature vectors and a predetermined static decision boundary. An estimated neutralized value for each abnormal feature value may be calculated based on the dynamic decision boundary and the static decision boundary such that a future set of feature vectors will be moved with respect to the static decision boundary. An inverse transform of each estimated neutralized value may be performed to generate neutralized signals comprising time series data that are output.

Inventors:
; ;
Issue Date:
Research Org.:
General Electric Co., Schenectady, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1735093
Patent Number(s):
10728282
Application Number:
15/986,996
Assignee:
General Electric Company (Schenectady, NY)
Patent Classifications (CPCs):
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
DOE Contract Number:  
OE0000833
Resource Type:
Patent
Resource Relation:
Patent File Date: 05/23/2018
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Mestha, Lalit Keshav, Anubi, Olugbenga, and Achanta, Hema Kumari. Dynamic concurrent learning method to neutralize cyber attacks and faults for industrial asset monitoring nodes. United States: N. p., 2020. Web.
Mestha, Lalit Keshav, Anubi, Olugbenga, & Achanta, Hema Kumari. Dynamic concurrent learning method to neutralize cyber attacks and faults for industrial asset monitoring nodes. United States.
Mestha, Lalit Keshav, Anubi, Olugbenga, and Achanta, Hema Kumari. Tue . "Dynamic concurrent learning method to neutralize cyber attacks and faults for industrial asset monitoring nodes". United States. https://www.osti.gov/servlets/purl/1735093.
@article{osti_1735093,
title = {Dynamic concurrent learning method to neutralize cyber attacks and faults for industrial asset monitoring nodes},
author = {Mestha, Lalit Keshav and Anubi, Olugbenga and Achanta, Hema Kumari},
abstractNote = {Input signals may be received from monitoring nodes of the industrial asset, each input signal comprising time series data representing current operation. A neutralization engine may transform the input signals into feature vectors in feature space, each feature vector being associated with one of a plurality of overlapping batches of received input signals. A dynamic decision boundary may be generated based on the set of feature vectors, and an abnormal state of the asset may be detected based on the set of feature vectors and a predetermined static decision boundary. An estimated neutralized value for each abnormal feature value may be calculated based on the dynamic decision boundary and the static decision boundary such that a future set of feature vectors will be moved with respect to the static decision boundary. An inverse transform of each estimated neutralized value may be performed to generate neutralized signals comprising time series data that are output.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {7}
}

Works referenced in this record:

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journal, October 2016


Method for Quantitative Resilience Estimation of Industrial Control Systems
patent-application, May 2013


Threat Detection and Localizatino for Monitoring Nodes of an Industrial Asset Control System
patent-application, December 2017


Domain Level Threat Detection for Industrial Asset Control System
patent-application, October 2017


Integrated Industrial System and Control Method Thereof
patent-application, June 2017


Cyber-attack detection and accommodation algorithm for energy delivery systems
conference, August 2017


Detection Mitigation and Remediation of Cyberattacks Employing an Advanced Cyber-decision Platform
patent-application, May 2017


Prediction of potential cyber security threats and risks in an industrial control system using predictive cyber analytics
patent-application, August 2017


A machine learning approach for real-time reachability analysis
conference, September 2014