Detection of tampering attacks and parameter identification for FIR systems with binary-valued observations: An input design approach
Author:
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
Publisher
Elsevier BV
Reference30 articles.
1. Robust decentralized diagnosability of networked discrete event systems against DoS and deception attacks;Alves;Nonlinear Anal. Hybrid Syst.,2022
2. A practical physical watermarking approach to detect replay attacks in a CPS;Ahmed;J. Process Control,2022
3. Prediction-based event-triggered identification of quantized input FIR systems with quantized output observations;Guo;Sci. China Inf. Sci.,2020
4. Performance analysis for cyber–physical systems under two types of stealthy deception attacks;Liu;Automatica,2024
5. System identification with binary-valued observations under data tampering attacks;Guo;IEEE Trans. Autom. Control,2021
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