Dynamic, resilient sensing system for automatic cyber-attack neutralization

Dokucu, Mustafa Tekin; Roychowdhury, Subhrajit; Anubi, Olugbenga; Abbaszadeh, Masoud; John, Justin Varkey

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Title: Dynamic, resilient sensing system for automatic cyber-attack neutralization

Abstract

An industrial asset may have monitoring nodes that generate current monitoring node values. An abnormality detection computer may determine that an abnormal monitoring node is currently being attacked or experiencing fault. A dynamic, resilient estimator constructs, using normal monitoring node values, a latent feature space (of lower dimensionality as compared to a temporal space) associated with latent features. The system also constructs, using normal monitoring node values, functions to project values into the latent feature space. Responsive to an indication that a node is currently being attacked or experiencing fault, the system may compute optimal values of the latent features to minimize a reconstruction error of the nodes not currently being attacked or experiencing a fault. The optimal values may then be projected back into the temporal space to provide estimated values and the current monitoring node values from the abnormal monitoring node are replaced with the estimated values.

Inventors:: Dokucu, Mustafa Tekin; Roychowdhury, Subhrajit; Anubi, Olugbenga; Abbaszadeh, Masoud; John, Justin Varkey

Issue Date:: 2022-08-09

Research Org.:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1924980

Patent Number(s):: 11411983

Application Number:: 16/654,319

Assignee:: General Electric Company (Schenectady, NY)

Patent Classifications (CPCs):: G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES

G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING

Show more

G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
G01R19/0092 - {measuring current only
G01R19/2506 - {Arrangements for conditioning or analysing measured signals, e.g. for indicating peak values
G01R19/2513 - {Arrangements for monitoring electric power systems, e.g. power lines or loads
G01R35/00 - Testing or calibrating of apparatus covered by the preceding groups {

G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G06F21/554 - {involving event detection and direct action}

G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
G06N20/00 - Machine learning
G06N20/10 - using kernel methods, e.g. support vector machines [SVM]
G06N3/088 - {Non-supervised learning, e.g. competitive learning}

H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
H04L63/1441 - {Countermeasures against malicious traffic

Show less

DOE Contract Number:: OE0000833

Resource Type:: Patent

Resource Relation:: Patent File Date: 10/16/2019

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Dokucu, Mustafa Tekin, Roychowdhury, Subhrajit, Anubi, Olugbenga, Abbaszadeh, Masoud, and John, Justin Varkey. Dynamic, resilient sensing system for automatic cyber-attack neutralization.  United States: N. p., 2022. 
        Web.

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                    Dokucu, Mustafa Tekin, Roychowdhury, Subhrajit, Anubi, Olugbenga, Abbaszadeh, Masoud, & John, Justin Varkey. Dynamic, resilient sensing system for automatic cyber-attack neutralization.  United States.

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                    Dokucu, Mustafa Tekin, Roychowdhury, Subhrajit, Anubi, Olugbenga, Abbaszadeh, Masoud, and John, Justin Varkey. Tue .  
        "Dynamic, resilient sensing system for automatic cyber-attack neutralization".  United States.  https://www.osti.gov/servlets/purl/1924980.

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@article{osti_1924980,

  title        = {Dynamic, resilient sensing system for automatic cyber-attack neutralization},

  author       = {Dokucu, Mustafa Tekin and Roychowdhury, Subhrajit and Anubi, Olugbenga and Abbaszadeh, Masoud and John, Justin Varkey},

  abstractNote = {An industrial asset may have monitoring nodes that generate current monitoring node values. An abnormality detection computer may determine that an abnormal monitoring node is currently being attacked or experiencing fault. A dynamic, resilient estimator constructs, using normal monitoring node values, a latent feature space (of lower dimensionality as compared to a temporal space) associated with latent features. The system also constructs, using normal monitoring node values, functions to project values into the latent feature space. Responsive to an indication that a node is currently being attacked or experiencing fault, the system may compute optimal values of the latent features to minimize a reconstruction error of the nodes not currently being attacked or experiencing a fault. The optimal values may then be projected back into the temporal space to provide estimated values and the current monitoring node values from the abnormal monitoring node are replaced with the estimated values.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2022},

  month        = {8}

}

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Works referenced in this record:

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Achanta, Hema K.; Abbaszadeh, Masoud; Yan, Weizhong
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Dynamic, Resilient Virtual Sensing System and Shadow Controller for Cyber-Attack Neutralization
patent-application, June 2021

Roychowdhury, Subhrajit; Abbaszadeh, Masoud; Dokucu, Mustafa Tekin
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Feature and Boundary Tuning for Threat Detection in Industrial Asset Control System
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Adaptive, Self-Tuning Virtual Sensing System for Cyber-Attack Neutralization
patent-application, March 2021

Abbaszadeh, Masoud; Dokucu, Mustafa Tekin; John, Justin Varkey
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Replacing Virtual Sensors with Physical Data After Cyber-Attack Neutralization
patent-application, March 2021

Abbaszadeh, Masoud; Dokucu, Mustafa Tekin; John, Justin Varkey
US Patent Application 16/574,558; 2021/0084056 Al
URL: https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20210084056

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Similar Records

Title: Dynamic, resilient sensing system for automatic cyber-attack neutralization

Abstract

Citation Formats

Anomaly Forecasting and Early Warning Generation patent-application, November 2018

Autonomous Reconfigurable Virtual Sensing System for Cyber-Attack Neutralization patent-application, July 2019

Cyber-physical attacks and defences in the smart grid: a survey journal, December 2016

Dynamic Concurrent Learning Method to Neutralize Cyber Attacks and Faults for Industrial Asset Monitoring Nodes patent-application, July 2019

Resilient control design for distributed cyber-physical systems patent, April 2018

Using virtual sensors to accommodate industrial asset control systems during cyber attacks patent-application, February 2019

An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems journal, November 2017

Data-Driven Model Construction for Industrial Asset Decision Boundary Classification patent-application, February 2019

Resilient Estimation for Grid Situational Awareness patent-application, February 2021

Dynamic, Resilient Virtual Sensing System and Shadow Controller for Cyber-Attack Neutralization patent-application, June 2021

Feature and Boundary Tuning for Threat Detection in Industrial Asset Control System patent-application, June 2018

Cyberattack-Resilient Control System Design patent-application, July 2019

Cyber-Attack Detection and Neutralization patent-application, September 2018

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

Automated Attack Localization and Detection patent-application, June 2018

Multi-mode boundary selection for threat detection in industrial asset control system patent-application, June 2018

Generic Framework to Detect Cyber Threats in Electric Power Grid patent-application, September 2018

Multi-Class Decision System for Categorizing Industrial Asset Attack and Fault Types patent-application, February 2019

Virtual Sensor Supervised Learning for Cyber-Attack Neutralization patent-application, April 2021

Adaptive, Self-Tuning Virtual Sensing System for Cyber-Attack Neutralization patent-application, March 2021

Replacing Virtual Sensors with Physical Data After Cyber-Attack Neutralization patent-application, March 2021

Anomaly Forecasting and Early Warning Generation
patent-application, November 2018

Autonomous Reconfigurable Virtual Sensing System for Cyber-Attack Neutralization
patent-application, July 2019

Cyber-physical attacks and defences in the smart grid: a survey
journal, December 2016

Dynamic Concurrent Learning Method to Neutralize Cyber Attacks and Faults for Industrial Asset Monitoring Nodes
patent-application, July 2019

Resilient control design for distributed cyber-physical systems
patent, April 2018

Using virtual sensors to accommodate industrial asset control systems during cyber attacks
patent-application, February 2019

An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems
journal, November 2017

Data-Driven Model Construction for Industrial Asset Decision Boundary Classification
patent-application, February 2019

Resilient Estimation for Grid Situational Awareness
patent-application, February 2021

Dynamic, Resilient Virtual Sensing System and Shadow Controller for Cyber-Attack Neutralization
patent-application, June 2021

Feature and Boundary Tuning for Threat Detection in Industrial Asset Control System
patent-application, June 2018

Cyberattack-Resilient Control System Design
patent-application, July 2019

Cyber-Attack Detection and Neutralization
patent-application, September 2018

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

Automated Attack Localization and Detection
patent-application, June 2018

Multi-mode boundary selection for threat detection in industrial asset control system
patent-application, June 2018

Generic Framework to Detect Cyber Threats in Electric Power Grid
patent-application, September 2018

Multi-Class Decision System for Categorizing Industrial Asset Attack and Fault Types
patent-application, February 2019

Virtual Sensor Supervised Learning for Cyber-Attack Neutralization
patent-application, April 2021

Adaptive, Self-Tuning Virtual Sensing System for Cyber-Attack Neutralization
patent-application, March 2021

Replacing Virtual Sensors with Physical Data After Cyber-Attack Neutralization
patent-application, March 2021