| Title | A Game-Theoretic Approach to Secure Estimation and Control for Cyber-Physical Systems with a Digital Twin |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Xu, Z., Easwaran, A. |
| Conference Name | 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS) |
| Date Published | apr |
| Keywords | Chi-square detector, clandestine attack strategies, control systems, Covariance matrices, CPSS, Cyber-physical systems, Data-Integrity Attack, defense strategies, Detectors, digital twin, Estimation, estimation theory, game theoretic security, game theory, game-theoretic approach, Games, human factors, intelligent attackers, Monitoring, online digital model, physical system, Predictive Metrics, pubcrawl, Resiliency, Scalability, security of data, Signaling Game with Evidence, state estimation, stealthy estimation attack |
| 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. |
| DOI | 10.1109/ICCPS48487.2020.00010 |
| Citation Key | xu_game-theoretic_2020 |
A Game-Theoretic Approach to Secure Estimation and Control for Cyber-Physical Systems with a Digital Twin