Optimal DoS attack schedules on remote state estimation under multi-sensor round-robin protocol

Abstract

In this paper, we focus on the design of optimal schedules for denial-of-service (DoS) attacks to degrade the performance of a remote state estimator of a networked system, where measurements of un-computational sensors are transmitted through a band-limited wireless channel under the round-robin protocol. Since attacker only has limited energy to jam the network, the attacker has to determine whether to jam the channel or not at each time step. In this paper, we propose a general error cost function in which average error and terminal error only become its particular cases. Then we analyze the properties of evolution of estimation error covariance under different schedules and further determine optimal attack schedules with respect to our proposed error cost. Examples are provided to illustrate the design of the optimal attack schedules.