DoS Attack Power Allocation Against Remote State Estimation via a Block Fading Channel

This paper studies the Denial-of-Service (DoS) attack power allocation issue, which aims to aggravate the quality of remote state estimation and save the expenditure of attack power concurrently. Different from the previous literature based on the assumption of time-invariant channel states, we consider the scenario that the observations are transmitted through a standard block fading communication channel. From viewpoint of the DoS attacker, we construct an optimization problem considering jointly the average estimation error and the attack power consumption. Then the framework of Markov decision process is employed to manifest the existence of optimal attack allocation strategy. Since the closed-form of the optimal attack strategy cannot be expressed directly, we restrain it to a specific attack policy to present the unclear part in the solution, and then provide a suboptimal attack power strategy. Finally, a simulation example is presented to show the effectiveness of our proposed attack strategy.