TY - GEN
T1 - Detection of Stealthy Adversaries for Networked Unmanned Aerial Vehicles
AU - Bahrami, Mohammad
AU - Jafarnejadsani, Hamidreza
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - A network of unmanned aerial vehicles (UAVs) provides distributed coverage, reconfigurability, and maneuverability in performing complex cooperative tasks. However, it relies on wireless communications that can be susceptible to cyber adversaries and intrusions, disrupting the entire network's operation. This paper develops model-based centralized and decentralized observer techniques for detecting a class of stealthy intrusions, namely zero-dynamics and covert attacks, on networked UAVs in formation control settings. The centralized observer that runs in a control center leverages switching in the UAVs' communication topology for attack detection, and the decentralized observers, implemented onboard each UAV in the network, use the model of networked UAVs and locally available measurements. Experimental results are provided to show the effectiveness of the proposed detection schemes in different case studies.
AB - A network of unmanned aerial vehicles (UAVs) provides distributed coverage, reconfigurability, and maneuverability in performing complex cooperative tasks. However, it relies on wireless communications that can be susceptible to cyber adversaries and intrusions, disrupting the entire network's operation. This paper develops model-based centralized and decentralized observer techniques for detecting a class of stealthy intrusions, namely zero-dynamics and covert attacks, on networked UAVs in formation control settings. The centralized observer that runs in a control center leverages switching in the UAVs' communication topology for attack detection, and the decentralized observers, implemented onboard each UAV in the network, use the model of networked UAVs and locally available measurements. Experimental results are provided to show the effectiveness of the proposed detection schemes in different case studies.
UR - http://www.scopus.com/inward/record.url?scp=85136094375&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136094375&partnerID=8YFLogxK
U2 - 10.1109/ICUAS54217.2022.9836208
DO - 10.1109/ICUAS54217.2022.9836208
M3 - Conference contribution
AN - SCOPUS:85136094375
T3 - 2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022
SP - 1111
EP - 1120
BT - 2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022
T2 - 2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022
Y2 - 21 June 2022 through 24 June 2022
ER -