Game-theoretic methods for robustness, security, and resilience of cyberphysical control systems

Games-in-games principle for optimal cross-layer resilient control systems

Quanyan Zhu, Tamer Başar

Research output: Contribution to journalArticle

Abstract

Critical infrastructures, such as power grids and transportation systems, are increasingly using open networks for operation. The use of open networks poses many challenges for control systems. The classical design of control systems takes into account modeling uncertainties as well as physical disturbances, providing a multitude of control design methods such as robust control, adaptive control, and stochastic control. With the growing level of integration of control systems with new information technologies, modern control systems face uncertainties not only from the physical world but also from the cybercomponents of the system. The vulnerabilities of the software deployed in the new control system infrastructure will expose the control system to many potential risks and threats from attackers. Exploitation of these vulnerabilities can lead to severe damage as has been reported in various news outlets [1], [2]. More recently, it has been reported in [3] and [4] that a computer worm, Stuxnet, was spread to target Siemens supervisory control and data acquisition (SCADA) systems that are configured to control and monitor specific industrial processes.

Original languageEnglish (US)
Article number7011006
Pages (from-to)46-65
Number of pages20
JournalIEEE Control Systems
Volume35
Issue number1
DOIs
StatePublished - Feb 1 2015

Fingerprint

Cross-layer
Resilience
Robustness (control systems)
Control System
Game
Robustness
Control systems
Vulnerability
Computer worms
Critical infrastructures
SCADA systems
Uncertainty Modeling
Physical Modeling
Critical Infrastructure
Supervisory Control
Worm
Stochastic Control
Robust control
Robust Control
Data Acquisition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

Cite this

@article{af8640a058b84c0c909f5fe7c7c92118,
title = "Game-theoretic methods for robustness, security, and resilience of cyberphysical control systems: Games-in-games principle for optimal cross-layer resilient control systems",
abstract = "Critical infrastructures, such as power grids and transportation systems, are increasingly using open networks for operation. The use of open networks poses many challenges for control systems. The classical design of control systems takes into account modeling uncertainties as well as physical disturbances, providing a multitude of control design methods such as robust control, adaptive control, and stochastic control. With the growing level of integration of control systems with new information technologies, modern control systems face uncertainties not only from the physical world but also from the cybercomponents of the system. The vulnerabilities of the software deployed in the new control system infrastructure will expose the control system to many potential risks and threats from attackers. Exploitation of these vulnerabilities can lead to severe damage as has been reported in various news outlets [1], [2]. More recently, it has been reported in [3] and [4] that a computer worm, Stuxnet, was spread to target Siemens supervisory control and data acquisition (SCADA) systems that are configured to control and monitor specific industrial processes.",
author = "Quanyan Zhu and Tamer Başar",
year = "2015",
month = "2",
day = "1",
doi = "10.1109/MCS.2014.2364710",
language = "English (US)",
volume = "35",
pages = "46--65",
journal = "IEEE Control Systems",
issn = "1066-033X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Game-theoretic methods for robustness, security, and resilience of cyberphysical control systems

T2 - Games-in-games principle for optimal cross-layer resilient control systems

AU - Zhu, Quanyan

AU - Başar, Tamer

PY - 2015/2/1

Y1 - 2015/2/1

N2 - Critical infrastructures, such as power grids and transportation systems, are increasingly using open networks for operation. The use of open networks poses many challenges for control systems. The classical design of control systems takes into account modeling uncertainties as well as physical disturbances, providing a multitude of control design methods such as robust control, adaptive control, and stochastic control. With the growing level of integration of control systems with new information technologies, modern control systems face uncertainties not only from the physical world but also from the cybercomponents of the system. The vulnerabilities of the software deployed in the new control system infrastructure will expose the control system to many potential risks and threats from attackers. Exploitation of these vulnerabilities can lead to severe damage as has been reported in various news outlets [1], [2]. More recently, it has been reported in [3] and [4] that a computer worm, Stuxnet, was spread to target Siemens supervisory control and data acquisition (SCADA) systems that are configured to control and monitor specific industrial processes.

AB - Critical infrastructures, such as power grids and transportation systems, are increasingly using open networks for operation. The use of open networks poses many challenges for control systems. The classical design of control systems takes into account modeling uncertainties as well as physical disturbances, providing a multitude of control design methods such as robust control, adaptive control, and stochastic control. With the growing level of integration of control systems with new information technologies, modern control systems face uncertainties not only from the physical world but also from the cybercomponents of the system. The vulnerabilities of the software deployed in the new control system infrastructure will expose the control system to many potential risks and threats from attackers. Exploitation of these vulnerabilities can lead to severe damage as has been reported in various news outlets [1], [2]. More recently, it has been reported in [3] and [4] that a computer worm, Stuxnet, was spread to target Siemens supervisory control and data acquisition (SCADA) systems that are configured to control and monitor specific industrial processes.

UR - http://www.scopus.com/inward/record.url?scp=84921497384&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84921497384&partnerID=8YFLogxK

U2 - 10.1109/MCS.2014.2364710

DO - 10.1109/MCS.2014.2364710

M3 - Article

VL - 35

SP - 46

EP - 65

JO - IEEE Control Systems

JF - IEEE Control Systems

SN - 1066-033X

IS - 1

M1 - 7011006

ER -