Stealthy switching attacks on sensors against state estimation in cyber‐physical systems
From MaRDI portal
Publication:6182088
DOI10.1002/rnc.6428MaRDI QIDQ6182088
Publication date: 23 January 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Dynamic programming in optimal control and differential games (49L20) Control/observation systems involving computers (process control, etc.) (93C83) Estimation and detection in stochastic control theory (93E10) Networked control (93B70)
Cites Work
- Unnamed Item
- Optimal switching for linear quadratic problem of switched systems in discrete time
- State estimation under false data injection attacks: security analysis and system protection
- Switched projected gradient descent algorithms for secure state estimation under sparse sensor attacks
- False data injection attacks with complete stealthiness in cyber-physical systems: a self-generated approach
- Optimal denial-of-service attack energy management against state estimation over an SINR-based network
- Data-injection attacks in stochastic control systems: detectability and performance tradeoffs
- On the Performance Degradation of Cyber-Physical Systems Under Stealthy Integrity Attacks
- On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks
- Reachability Analysis for Linear Discrete-Time Systems Under Stealthy Cyber Attacks
- Joint attack detection and secure state estimation of cyber‐physical systems
- Security analysis for cyber‐physical systems under undetectable attacks: A geometric approach
- On the Performance Analysis of Reset Attack in Cyber-Physical Systems
- Infinite-Horizon Switched LQR Problems in Discrete Time: A Suboptimal Algorithm With Performance Analysis
- Optimal Linear Cyber-Attack on Remote State Estimation
- Cyber Physical Attacks with Control Objectives
- The Vulnerability of Cyber-Physical System Under Stealthy Attacks
This page was built for publication: Stealthy switching attacks on sensors against state estimation in cyber‐physical systems