Menglin Li

TL;DR: This paper considers a system where a remote estimator receives the data packet sent by a sensor over a wireless network at each time instant, and an energy-constrained attacker designs the optimal DoS attack scheduling to maximize the attacking effect on the remote estimation performance.

TL;DR: By moving the energy constraint into the objective function to maximize the system index and minimize the energy consumption simultaneously, the other MDP based algorithm is proposed to find the optimal dynamic attack power policy which is further shown to have a monotone structure.

TL;DR: This paper considers a Denial-of-Service (DoS) attack scheduling problem where a sensor employs the wireless link to send the data packet to the remote estimator at each time step, while an energy-constrained attacker launches DoS attacks against the remote state estimation, and designs an optimal attack strategy to maximize damage to theRemote estimation quality.

TL;DR: This paper investigates remote state estimation against an intelligent denial-of-service (DoS) attack over a vulnerable wireless network whose channel undergoes attenuation and distortion caused by fading, and describes the conflicting characteristic between the attacker and the sensor with a general-sum stochastic game.

TL;DR: Wang et al. as mentioned in this paper proposed a dynamic-target regulative gain estimation (DTRGE) algorithm to achieve the resilient distributed state estimation over the sensor networks under measurement attacks, which make the measurements of variant subsets of sensors aberrant at different time instants.