System identification with binary-valued observations under both denial-of-service attacks and data tampering attacks: the optimality of attack strategy

DOI10.1007/s11768-021-00075-7zbMath1500.93021OpenAlexW4210639271MaRDI QIDQ2082774

Yanlong Zhao, Wenchao Xue, Yanling Zhang, Jin Guo, Xue Bin Wang

Publication date: 4 October 2022

Published in: Control Theory and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-021-00075-7

zbMATH Keywords

system identificationbinary-valued observationsdenial-of-service attacksdata tampering attacks

Mathematics Subject Classification ID

System identification (93B30) Control/observation systems involving computers (process control, etc.) (93C83) Networked control (93B70)

Cites Work

• Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs
• System identification with quantized observations
• Event-triggered identification of FIR systems with binary-valued output observations
• Distributed filtering under false data injection attacks
• Variational Bayesian approach for ARX systems with missing observations and varying time-delays
• Optimal periodic watermarking schedule for replay attack detection in cyber-physical systems
• Optimal Attack Energy Allocation against Remote State Estimation
• System Identification With Binary-Valued Observations Under Data Tampering Attacks
• Identification Using Binary Measurements for IIR Systems
• Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach
• Robust event‐triggered model predictive control for cyber‐physical systems under denial‐of‐service attacks

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