TY - GEN
T1 - Supervisory Control of Cyber-Physical Systems Subject to Actuator Jamming Attacks
AU - Duo, Wenli
AU - Wang, Shouguang
AU - Zhou, Meng Chu
AU - You, Dan
AU - Wisniewski, Remigiusz
AU - Bazydlo, Grzegorz
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we examine the supervisory control problem for cyber-physical systems vulnerable to actuator jamming attacks, which cause control command loss during transmission. We study this issue within the framework of discrete event systems. First, an attack structure is constructed by analyzing the closed-loop control behavior under jamming attacks. We then explore a solution to the supervisory control problem by introducing a concept of dynamically controllable language. In particular, an existence condition for a robust and nonblocking supervisor is obtained, and an algorithm deriving a supervisor capable of defending against actuator jamming attacks is proposed. An automated guided vehicle system is used as an example to demonstrate the proposed concepts and algorithm.
AB - In this paper, we examine the supervisory control problem for cyber-physical systems vulnerable to actuator jamming attacks, which cause control command loss during transmission. We study this issue within the framework of discrete event systems. First, an attack structure is constructed by analyzing the closed-loop control behavior under jamming attacks. We then explore a solution to the supervisory control problem by introducing a concept of dynamically controllable language. In particular, an existence condition for a robust and nonblocking supervisor is obtained, and an algorithm deriving a supervisor capable of defending against actuator jamming attacks is proposed. An automated guided vehicle system is used as an example to demonstrate the proposed concepts and algorithm.
KW - Cyber-physical systems
KW - actuator attacks
KW - automated guided vehicle (AGV)
KW - automaton
KW - discrete event systems
KW - supervisory control
UR - http://www.scopus.com/inward/record.url?scp=85179627924&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85179627924&partnerID=8YFLogxK
U2 - 10.1109/ICNSC58704.2023.10318985
DO - 10.1109/ICNSC58704.2023.10318985
M3 - Conference contribution
AN - SCOPUS:85179627924
T3 - ICNSC 2023 - 20th IEEE International Conference on Networking, Sensing and Control
BT - ICNSC 2023 - 20th IEEE International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Networking, Sensing and Control, ICNSC 2023
Y2 - 25 October 2023 through 27 October 2023
ER -