On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks

By Minghui Zhu, Sonia Martínez. IEEE Transactions on Automatic Control, 2013

488 citations recorded by the source corpus.

This technical note studies a resilient control problem for discrete-time, linear time-invariant systems subject to state and input constraints. State measurements and control commands are transmitted over a communication network and could be corrupted by adversaries. In particular, we consider the replay attackers who maliciously repeat the messages sent from the operator to the actuator. We propose a variation of the receding-horizon control law to deal with the replay attacks and analyze the resulting system performance degradation. A class of competitive (resp. cooperative) resource allocation problems for resilient networked control systems is also investigated.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/7841c9ba2b3e1a3309281895e8be4614b2af64a5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Qing-Long Han
2. Xiaohua Ge
3. Xianming Zhang
4. Lei Ding
5. Derui Ding
6. Chen Peng
7. Dong Yue
8. Zidong Wang

In Control and Systems Engineering

1. Qing-Long Han
2. Xiaohua Ge
3. Xianming Zhang
4. Derui Ding
5. Lei Ding
6. Chen Peng
7. Dong Yue
8. Zidong Wang

Citations in the corpus

• State estimation under false data injection attacks: Security analysis and system protection (2018, unknown): “As for dynamic systems, when the system model is unknown to the adversary, a specific type of deception attack called replay attack has been proposed and analysed in [15], [18], [25].”
• Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks (2018, background): “Another particular form of attacks can be found in [17] where the effect of replay attacks (through which the sensor data or control commands were maliciously repeated) on control performance for CPSs was analyzed.”
• Security Control for Discrete-Time Stochastic Nonlinear Systems Subject to Deception Attacks (2018, background): “According to their implementation types, the cyber-attacks can be generally classified into the denial-of-service (DoS) attacks [22], the replay attacks [45], and the deception attacks [5], [13].”
• Networked control systems: a survey of trends and techniques (2020, background): “now, various types of data integrity attacks have been identified in the control-theoretic literature, such as deception attacks [38], [117], [124]–[126]; false data injection attacks [127], [128]; replay attacks [20], [22], [129]; sparse sensor attacks [130].”
• Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks (2017, unknown): “Accordingly, as highlighted in [8], [25], [27], and [30], the security challenges have recently become emerging topics of research and some preliminary results have been reported with regard to various cyber-attacks, for example, Denial of service (DoS) attacks [1], [22], deception attacks [2], [10]”
• Optimal DoS Attack Scheduling in Wireless Networked Control System (2016, background): “, Denial-of-Service (DoS) attacks [10], replay attacks [11], and data injection attacks [7], on particular systems.”