An event-based stealthy attack on remote state estimation
Transaction:
IEEE Transactions on Automatic Control, 2020, 65(10): 4348–4355
Authors:
Peng Cheng, Zeyu Yang, Jiming Chen, Yifei Qi and Ling Shi.
Abstract:
Security issues in Cyber-Physical Systems (CPSs) have gained increasing attention in recent years due to the importance and unavoidable vulnerability of CPSs. This paper focuses on designing an intelligent online attack, which can compromise a sensor, eavesdrop measurements and inject false feedback information, against remote state estimation. From the viewpoint of the attacker, we design an event-based attack strategy to degrade the estimation quality with arbitrary communication rate stealthy constraint. The approximate minimum mean-squared error estimation algorithm from the viewpoint of attacker is derived under a Gaussian assumption. Furthermore, the relation between the attack threshold and the scheduling threshold is obtained in a closed form. We show the mean-squared stability condition of the estimation is weakened under the attack. Two examples are provided to demonstrate the main results.