Identification of FIR systems with binary-valued observations against denial-of-service attacks

Jin Guo, Ruizhe Jia, Ruinan Su, Yanlong Zhao and Yong Song

Applied Mathematics and Computation, 2023, vol. 450, issue C

Abstract: DoS (Denial-of-Service) attack is a very common network attack, under which it is of great practical significance to study the system performance. This paper addresses the security problem in the identification of FIR (Finite Impulse Response) systems with binary-valued observations when the data is under DoS attacks in the process of transmission. From the attacker’s point of view, the optimal attack strategy to maximize the estimation error is given, where the attack is constrained by the average and the maximum energies. From the defender’s point of view, the encryption-type defense scheme is proposed, and the sufficient and necessary conditions are given to make the algorithm consistent. The effectiveness of the conclusion is verified by numerical simulation. Finally, the correctness of the obtained conclusion is verified by numerical simulation.

Keywords: System identification; FIR system; Binary-valued observations; Denial-of-service attack (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:450:y:2023:i:c:s0096300323001583

DOI: 10.1016/j.amc.2023.127989

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