DoS attack detection in identification of FIR systems with binary-valued observations

Timely and effective detection of malicious attacks is a primary problem in cyber-physical system security. This paper studies the detection of DoS (denial of service) attacks in identification of FIR (finite impulse response) systems with binary-valued observations. Based on the prior information of the system, an attack detection algorithm is designed, and its online form is given. The detectability is discussed for the ability of detection algorithm, and the necessary and sufficient condition for the attack strategy to be detectable is obtained. The concepts of the missed detection rate and false alarm rate are introduced, and their calculation methods and approximate formulas under large samples are provided. Furthermore, it is analyzed the influence of prior information of system parameters and data length on the performance of detection algorithm. The rationality of theoretical results is verified by numerical simulation.