TY - GEN
T1 - Privacy-Preserving Stealthy Attack Detection in Multi-Agent Control Systems
AU - Bahrami, Mohammad
AU - Jafarnejadsani, Hamidreza
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper develops a glocal (global-local) attack detection framework to detect stealthy cyber-physical attacks, namely covert attack and zero-dynamics attack, against a class of multi-agent control systems seeking average consensus. The detection structure consists of a global (central) observer and local observers for the multi-agent system partitioned into clusters. The proposed structure addresses the scalability of the approach and the privacy preservation of the multi-agent system's state information. The former is addressed by using decentralized local observers, and the latter is achieved by imposing unobservability conditions at the global level. Also, the communication graph model is subject to topology switching, triggered by local observers, allowing for the detection of stealthy attacks by the global observer. Theoretical conditions are derived for detectability of the stealthy attacks using the proposed detection framework. Finally, a numerical simulation is provided to validate the theoretical findings.
AB - This paper develops a glocal (global-local) attack detection framework to detect stealthy cyber-physical attacks, namely covert attack and zero-dynamics attack, against a class of multi-agent control systems seeking average consensus. The detection structure consists of a global (central) observer and local observers for the multi-agent system partitioned into clusters. The proposed structure addresses the scalability of the approach and the privacy preservation of the multi-agent system's state information. The former is addressed by using decentralized local observers, and the latter is achieved by imposing unobservability conditions at the global level. Also, the communication graph model is subject to topology switching, triggered by local observers, allowing for the detection of stealthy attacks by the global observer. Theoretical conditions are derived for detectability of the stealthy attacks using the proposed detection framework. Finally, a numerical simulation is provided to validate the theoretical findings.
UR - http://www.scopus.com/inward/record.url?scp=85125691405&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125691405&partnerID=8YFLogxK
U2 - 10.1109/CDC45484.2021.9683427
DO - 10.1109/CDC45484.2021.9683427
M3 - Conference contribution
AN - SCOPUS:85125691405
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4194
EP - 4199
BT - 60th IEEE Conference on Decision and Control, CDC 2021
T2 - 60th IEEE Conference on Decision and Control, CDC 2021
Y2 - 13 December 2021 through 17 December 2021
ER -