A class of stealthy attacks on remote state estimation with intermittent observation

Network attacks always threaten economic operations and personal privacy, which have resulted in severe and irreparable damage. Therefore, the investigation of network attacks is essential for network security. This paper concentrates on designing two stealthy attack strategies for remote state estimation with intermittent observations, where the attackers can select one of the designed stealthy attack strategies depending on their capabilities, available resources, and information. Furthermore, for real-time communication rates, a novel detector is introduced to determine if the system is compromised by attackers at each moment. Then, an algorithm for state estimation is derived under the proposed stealthy attack strategies. Furthermore, the attack parameters in the proposed attack strategies are discussed by applying linear matrix inequalities. Finally, a numerical example illustrates the effects of the detector and attack strategies.