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DoS attack detection in identification of FIR systems with binary-valued observations |
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| Authors: | Jin Guo Ruizhe Jia Ruinan Su Yong Song Fengwei Jing |
| Affiliation: | 1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083 China Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing, 100083 China Contribution: Conceptualization;2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083 China;3. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083 China Contribution: Formal analysis, Writing - original draft;4. National Engineering Research Center for Advanced Rolling Technology and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing, 100083 China;5. National Engineering Research Center for Advanced Rolling Technology and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing, 100083 China Contribution: Investigation, Methodology |
| Abstract: | 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. |
| Keywords: | attack detection DoS attack FIR system the false alarm rate the missed detection rate |