A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin

Zhiheng Xu; Arvind Easwaran

doi:10.1109/ICCPS48487.2020.00010

A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin

Zhiheng Xu, Arvind Easwaran

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

Cyber-Physical Systems (CPSs) play an increasingly significant role in many critical applications. These valuable applications attract various sophisticated attacks. This paper considers a stealthy estimation attack, which aims to modify the state estimation of the CPSs. The intelligent attackers can learn defense strategies and use clandestine attack strategies to avoid detection. To address the issue, we design a Chi-square detector in a Digital Twin (DT), which is an online digital model of the physical system. We use a Signaling Game with Evidence (SGE) to find the optimal attack and defense strategies. Our analytical results show that the proposed defense strategies can mitigate the impact of the attack on the physical estimation and guarantee the stability of the CPSs. Finally, we use an illustrative application to evaluate the performance of the proposed framework.

Original language	English
Title of host publication	Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	20-29
Number of pages	10
ISBN (Electronic)	9781728155012
DOIs	https://doi.org/10.1109/ICCPS48487.2020.00010
Publication status	Published - Apr 2020
Externally published	Yes
Event	11th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2020 - Sydney, Australia Duration: Apr 21 2019 → Apr 24 2019

Publication series

Name	Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020

Conference

Conference	11th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2020
Country/Territory	Australia
City	Sydney
Period	4/21/19 → 4/24/19

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus Subject Areas

Artificial Intelligence
Control and Systems Engineering
Mechanical Engineering
Control and Optimization

Keywords

Cyber-Physical Systems
Data-Integrity Attack
Digital Twin
Signaling Game with Evidence

Access to Document

10.1109/ICCPS48487.2020.00010

Cite this

Xu, Z., & Easwaran, A. (2020). A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin. In Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020 (pp. 20-29). Article 9095990 (Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPS48487.2020.00010

Xu, Zhiheng ; Easwaran, Arvind. / A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin. Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 20-29 (Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020).

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abstract = "Cyber-Physical Systems (CPSs) play an increasingly significant role in many critical applications. These valuable applications attract various sophisticated attacks. This paper considers a stealthy estimation attack, which aims to modify the state estimation of the CPSs. The intelligent attackers can learn defense strategies and use clandestine attack strategies to avoid detection. To address the issue, we design a Chi-square detector in a Digital Twin (DT), which is an online digital model of the physical system. We use a Signaling Game with Evidence (SGE) to find the optimal attack and defense strategies. Our analytical results show that the proposed defense strategies can mitigate the impact of the attack on the physical estimation and guarantee the stability of the CPSs. Finally, we use an illustrative application to evaluate the performance of the proposed framework.",

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Xu, Z & Easwaran, A 2020, A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin. in Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020., 9095990, Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 20-29, 11th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2020, Sydney, Australia, 4/21/19. https://doi.org/10.1109/ICCPS48487.2020.00010

A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin. / Xu, Zhiheng; Easwaran, Arvind.
Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 20-29 9095990 (Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Cyber-Physical Systems (CPSs) play an increasingly significant role in many critical applications. These valuable applications attract various sophisticated attacks. This paper considers a stealthy estimation attack, which aims to modify the state estimation of the CPSs. The intelligent attackers can learn defense strategies and use clandestine attack strategies to avoid detection. To address the issue, we design a Chi-square detector in a Digital Twin (DT), which is an online digital model of the physical system. We use a Signaling Game with Evidence (SGE) to find the optimal attack and defense strategies. Our analytical results show that the proposed defense strategies can mitigate the impact of the attack on the physical estimation and guarantee the stability of the CPSs. Finally, we use an illustrative application to evaluate the performance of the proposed framework.

AB - Cyber-Physical Systems (CPSs) play an increasingly significant role in many critical applications. These valuable applications attract various sophisticated attacks. This paper considers a stealthy estimation attack, which aims to modify the state estimation of the CPSs. The intelligent attackers can learn defense strategies and use clandestine attack strategies to avoid detection. To address the issue, we design a Chi-square detector in a Digital Twin (DT), which is an online digital model of the physical system. We use a Signaling Game with Evidence (SGE) to find the optimal attack and defense strategies. Our analytical results show that the proposed defense strategies can mitigate the impact of the attack on the physical estimation and guarantee the stability of the CPSs. Finally, we use an illustrative application to evaluate the performance of the proposed framework.

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Xu Z, Easwaran A. A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin. In Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 20-29. 9095990. (Proceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020). doi: 10.1109/ICCPS48487.2020.00010

A game-theoretic approach to secure estimation and control for cyber-physical systems with a digital twin

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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