A Resilient Control Strategy for Cyber-Physical Systems Subject to Denial of Service Attacks: A Leader-Follower Set-Theoretic Approach

Giuseppe Franzè; Domenico Famularo; Walter Lucia; Francesco Tedesco

doi:10.1109/JAS.2020.1003189

Volume 7 Issue 5

Sep. 2020

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2020 > 7(5): 1204-1214

Giuseppe Franzè, Domenico Famularo, Walter Lucia and Francesco Tedesco, "A Resilient Control Strategy for Cyber-Physical Systems Subject to Denial of Service Attacks: A Leader-Follower Set-Theoretic Approach," IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1204-1214, Sept. 2020. doi: 10.1109/JAS.2020.1003189

Citation:

Giuseppe Franzè, Domenico Famularo, Walter Lucia and Francesco Tedesco, "A Resilient Control Strategy for Cyber-Physical Systems Subject to Denial of Service Attacks: A Leader-Follower Set-Theoretic Approach," IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1204-1214, Sept. 2020. doi: 10.1109/JAS.2020.1003189

Citation:

Giuseppe Franzè, Domenico Famularo, Walter Lucia and Francesco Tedesco, "A Resilient Control Strategy for Cyber-Physical Systems Subject to Denial of Service Attacks: A Leader-Follower Set-Theoretic Approach," IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1204-1214, Sept. 2020. doi: 10.1109/JAS.2020.1003189

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A Resilient Control Strategy for Cyber-Physical Systems Subject to Denial of Service Attacks: A Leader-Follower Set-Theoretic Approach

doi: 10.1109/JAS.2020.1003189

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Author Bio:
Giuseppe Franzè (SM’19) received the Laurea degree in computer engineering in 1994 and the Ph.D. degree in systems engineering in 1999 from the University of Calabria, Italy. Since 2015 he is an Associate Professor at the Università della Calabria with the DIMES Department. He authored or co-authored of 160 research papers in archival journals, book chapters, and international conference proceedings. His current research interests include constrained predictive control, nonlinear systems, networked control systems, control under constraints and control reconfiguration for fault tolerant systems, and resilient control for cyber-physical systems. He is a Co-Recipient of the Best Paper Award at the IEEE-CoDIT 2019 Conference, France. He currently serves as a Associate Editor of the IEEE/CAA Journal of Automatica Sinica. He is the Guest Editor of the Special Issue “Resilient Control in Large-Scale Networked Cyber-Physical Systems” of IEEE/CAA Journal of Automatica Sinica. Since January 2018, he is Graduate Program Director of the Master Degree in Automation Engineering at the DIMES Department, Università della Calabria

Domenico Famularo received the Laurea degree in computer engineering from the University of Calabria, Italy, in 1991 and the Ph.D degree in computational mechanics from the University of Rome, Italy, in 1996. From 1991 to 2000 he was a Research Associate at the Università della Calabria. In 1997 he was a Visiting Research Scholar at the University of New Mexico, USA, and in 1999 he covered the same position at the University of Southern California, USA. He was a Researcher at ICAR-CNR, and since 2005 he is an Associate Professor at the Università della Calabria. His current research interests include control under constraints, control reconfiguration for fault tolerant systems, and networked control systems

Walter Lucia (M’16) received the M.Sc. degree in automation engineering and the Ph.D. degree in systems and computer engineering from the Università della Calabria, Italy, in 2011 and 2015, respectively. In 2013, he was a Visiting Research Scholar with the ECE Department at Northeastern University, USA, and in 2015, Visiting Post-Doctoral Researcher with the ECE Department at Carnegie Mellon University, USA. Since 2016, Dr. Lucia is an Assistant Professor with the Concordia Institute for Information Systems Engineering at Concordia University, Canada. He is currently an Associate Editor of the Control System Society - Conference Editorial Board. His research interests include control of unmanned vehicles, fault-tolerant control, model predictive control, and resilient control of cyber-physical systems

Francesco Tedesco (M’11) received the Laurea Specialistica degree in automation engineering in 2008 and the Ph.D. degree in systems and computer engineering in 2012 from the Università della Calabria, Italy. In 2010 he was a Visiting Research Scholar at the ETH Zürich, Switzerland, and in 2014 he covered the same position at the Imperial College of London, United Kingdom. From 2012 to 2017 he was an Assistant Researcher at the DIMES department of the Università della Calabria where, since 2018, he is Assistant Professor. He is a Co-Recipient of the Best Paper Award at the IEEE-CoDIT 2019 Conference, France. His main research interests include supervision approaches over data network, model predictive control, automotive applications, and control of cyber-physical systems
Corresponding author: W. Lucia is with CIISE Department, Concordia University, Montreal, Quebec H3G-1M8, Canada (e-mail: walter.lucia@concordia.ca)
Received Date: 2019-10-15
Revised Date: 2020-01-19
Accepted Date: 2020-02-22

Available Online: 2020-03-16

Abstract

Abstract

Multi-agent systems are usually equipped with open communication infrastructures to improve interactions efficiency, reliability and sustainability. Although technologically cost-effective, this makes them vulnerable to cyber-attacks with potentially catastrophic consequences. To this end, we present a novel control architecture capable to deal with the distributed constrained regulation problem in the presence of time-delay attacks on the agents’ communication infrastructure. The basic idea consists of orchestrating the interconnected cyber-physical system as a leader-follower configuration so that adequate control actions are computed to isolate the attacked unit before it compromises the system operations. Simulations on a multi-area power system confirm that the proposed control scheme can reconfigure the leader-follower structure in response to denial of-service (DoS) attacks.
- Denial-of-service (DoS) attacks,
- distributed model predictive control,
- leader-follower paradigm,
- resilient control

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References

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A predictive control for networked MASs subject to cyber attacks is developed.
a dynamical Leader-Follower paradigm is used to face adversities affecting the leader.
the LF paradigm avoids iterative information exchange and attack detection procedures.
the needed computational resources (CPUs speed, memory, and bandwidth) are modest.

A Resilient Control Strategy for Cyber-Physical Systems Subject to Denial of Service Attacks: A Leader-Follower Set-Theoretic Approach

doi: 10.1109/JAS.2020.1003189

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