Resilient control of cyber-physical systems against Denial-of-Service attacks

The integration of control systems with modern information technologies has posed potential security threats for critical infrastructures. The communication channels of the control system are vulnerable to malicious jamming and Denial-of-Service (DoS) attacks, which lead to severe time-delays and degradation of control performances. In this paper, we design resilient controllers for cyber-physical control systems under DoS attacks. We establish a coupled design framework which incorporates the cyber configuration policy of Intrusion Detection Systems (IDSs) and the robust control of dynamical system. We propose design algorithms based on value iteration methods and linear matrix inequalities for computing the optimal cyber security policy and control laws. We illustrate the design principle with an example from power systems. The results are corroborated by numerical examples and simulations.

[1]  D. Fugate,et al.  Minimum state awareness for resilient control systems under cyber-attack , 2012, 2012 Future of Instrumentation International Workshop (FIIW) Proceedings.

[2]  David I. Gertman,et al.  Resilient control systems: Next generation design research , 2009, 2009 2nd Conference on Human System Interactions.

[3]  Quanyan Zhu,et al.  Dynamic policy-based IDS configuration , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[4]  Fuwen Yang,et al.  H∞ control for networked systems with random communication delays , 2006, IEEE Trans. Autom. Control..

[5]  T. Başar,et al.  Dynamic Noncooperative Game Theory , 1982 .

[6]  Quanyan Zhu,et al.  A dynamic game-theoretic approach to resilient control system design for cascading failures , 2012, HiCoNS '12.

[7]  Tamer Basar,et al.  H∞-Optimal Control and Related , 1991 .

[8]  Chang-Hee Won,et al.  Adaptive Neural replication and resilient control despite malicious attacks , 2012, 2012 5th International Symposium on Resilient Control Systems.

[9]  John K Munro,et al.  Cybersecurity through Real-Time Distributed Control Systems , 2010 .

[10]  X. Koutsoukos,et al.  Passivity-based trajectory tracking control with adaptive sampling over a wireless network , 2012, 2012 5th International Symposium on Resilient Control Systems.

[11]  Quanyan Zhu,et al.  Robust and resilient control design for cyber-physical systems with an application to power systems , 2011, IEEE Conference on Decision and Control and European Control Conference.