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Title: Autonomous reconfigurable virtual sensing system for cyber-attack neutralization

Abstract

An industrial asset may be associated with a plurality of monitoring nodes, each monitoring node generating a series of monitoring node values over time representing current operation of the industrial asset. An abnormality detection computer may determine that at least one abnormal monitoring node is currently being attacked or experiencing a fault. A virtual sensing estimator may continuously execute an adaptive learning process to create or update virtual sensor models for the monitoring nodes. Responsive to an indication that a monitoring node is currently being attacked or experiencing a fault, the virtual sensing estimator may be dynamically reconfigured to estimate a series of virtual node values for the abnormal monitoring node or nodes based on information from normal monitoring nodes and appropriate virtual sensor models. The series of monitoring node values from the abnormal monitoring node or nodes may then be replaced with the virtual node values.

Inventors:
;
Issue Date:
Research Org.:
General Electric Co., Schenectady, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1771516
Patent Number(s):
10805329
Application Number:
15/977,595
Assignee:
General Electric Company (Schenectady, NY)
Patent Classifications (CPCs):
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
DOE Contract Number:  
OE0000833
Resource Type:
Patent
Resource Relation:
Patent File Date: 05/11/2018
Country of Publication:
United States
Language:
English

Citation Formats

Abbaszadeh, Masoud, and Mestha, Lalit Keshav. Autonomous reconfigurable virtual sensing system for cyber-attack neutralization. United States: N. p., 2020. Web.
Abbaszadeh, Masoud, & Mestha, Lalit Keshav. Autonomous reconfigurable virtual sensing system for cyber-attack neutralization. United States.
Abbaszadeh, Masoud, and Mestha, Lalit Keshav. Tue . "Autonomous reconfigurable virtual sensing system for cyber-attack neutralization". United States. https://www.osti.gov/servlets/purl/1771516.
@article{osti_1771516,
title = {Autonomous reconfigurable virtual sensing system for cyber-attack neutralization},
author = {Abbaszadeh, Masoud and Mestha, Lalit Keshav},
abstractNote = {An industrial asset may be associated with a plurality of monitoring nodes, each monitoring node generating a series of monitoring node values over time representing current operation of the industrial asset. An abnormality detection computer may determine that at least one abnormal monitoring node is currently being attacked or experiencing a fault. A virtual sensing estimator may continuously execute an adaptive learning process to create or update virtual sensor models for the monitoring nodes. Responsive to an indication that a monitoring node is currently being attacked or experiencing a fault, the virtual sensing estimator may be dynamically reconfigured to estimate a series of virtual node values for the abnormal monitoring node or nodes based on information from normal monitoring nodes and appropriate virtual sensor models. The series of monitoring node values from the abnormal monitoring node or nodes may then be replaced with the virtual node values.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {10}
}

Works referenced in this record:

Model-Based Attack Detection and Mitigation for Automatic Generation Control
journal, March 2014


A Framework for Attack-Resilient Industrial Control Systems: Attack Detection and Controller Reconfiguration
journal, January 2018


Using virtual sensors to accommodate industrial asset control systems during cyber attacks
patent, December 2019


Methods and system for detecting false data injection attacks
patent, August 2019