TY - GEN
T1 - Pinpointing Actuator Attacks
T2 - 3rd International Conference on Assured Autonomy, ICAA 2024
AU - Wang, Zifan
AU - Qiu, Qinru
AU - Kong, Fanxin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Attack defense is a critical research problem in Cyber-Physical System security. While significant research has focused on attack detection, the crucial aspect of attack diagnosis, particularly temporal diagnosis, remains underexplored. This paper addresses this critical gap by proposing a novel approach to actuator attack diagnosis. We present a real-time, data-driven solution for actuator attack diagnosis in CPS that operates without prior knowledge of the system and is not limited to specific attack types. Our approach leverages attention mechanisms and provides both temporal and spatial diagnosis. Through extensive testing using high-fidelity simulators and a case study on Raspberry Pi, we demonstrate the robustness, accuracy, and efficiency of our method. This research contributes to advancing CPS security and facilitating effective attack recovery strategies.
AB - Attack defense is a critical research problem in Cyber-Physical System security. While significant research has focused on attack detection, the crucial aspect of attack diagnosis, particularly temporal diagnosis, remains underexplored. This paper addresses this critical gap by proposing a novel approach to actuator attack diagnosis. We present a real-time, data-driven solution for actuator attack diagnosis in CPS that operates without prior knowledge of the system and is not limited to specific attack types. Our approach leverages attention mechanisms and provides both temporal and spatial diagnosis. Through extensive testing using high-fidelity simulators and a case study on Raspberry Pi, we demonstrate the robustness, accuracy, and efficiency of our method. This research contributes to advancing CPS security and facilitating effective attack recovery strategies.
KW - actuator attacks
KW - cyber-physical systems
KW - detection
KW - diagnosis
KW - real-time
UR - http://www.scopus.com/inward/record.url?scp=85213981050&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85213981050&partnerID=8YFLogxK
U2 - 10.1109/ICAA64256.2024.00019
DO - 10.1109/ICAA64256.2024.00019
M3 - Conference contribution
AN - SCOPUS:85213981050
T3 - Proceedings - 2024 International Conference on Assured Autonomy, ICAA 2024
SP - 77
EP - 86
BT - Proceedings - 2024 International Conference on Assured Autonomy, ICAA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 October 2024 through 11 October 2024
ER -