Perfect Attackability of Linear Dynamical Systems with Bounded Noise
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, Conference
Khazraei, A; Pajic, M
Published in: Proceedings of the American Control Conference
July 1, 2020
This paper addresses the problem of secure state estimation in the presence of attacks on sensor measurements of a linear time invariant (LTI) system. We assume that the system is equipped with a common l0-based attack-resilient state estimator and a sound anomaly detector. We introduce the notion of perfect attackability (PA) for LTI systems with bounded noise, when the attacker may introduce an unbounded estimation error while remaining undetected by the anomaly detector. Finally, necessary and sufficient conditions for perfectly attackable systems are provided, and illustrated on examples.
Duke Scholars
Published In
Proceedings of the American Control Conference
DOI
ISSN
0743-1619
Publication Date
July 1, 2020
Volume
2020-July
Start / End Page
749 / 754
Citation
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Chicago
ICMJE
MLA
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Khazraei, A., & Pajic, M. (2020). Perfect Attackability of Linear Dynamical Systems with Bounded Noise. In Proceedings of the American Control Conference (Vol. 2020-July, pp. 749–754). https://doi.org/10.23919/ACC45564.2020.9147833
Khazraei, A., and M. Pajic. “Perfect Attackability of Linear Dynamical Systems with Bounded Noise.” In Proceedings of the American Control Conference, 2020-July:749–54, 2020. https://doi.org/10.23919/ACC45564.2020.9147833.
Khazraei A, Pajic M. Perfect Attackability of Linear Dynamical Systems with Bounded Noise. In: Proceedings of the American Control Conference. 2020. p. 749–54.
Khazraei, A., and M. Pajic. “Perfect Attackability of Linear Dynamical Systems with Bounded Noise.” Proceedings of the American Control Conference, vol. 2020-July, 2020, pp. 749–54. Scopus, doi:10.23919/ACC45564.2020.9147833.
Khazraei A, Pajic M. Perfect Attackability of Linear Dynamical Systems with Bounded Noise. Proceedings of the American Control Conference. 2020. p. 749–754.
Published In
Proceedings of the American Control Conference
DOI
ISSN
0743-1619
Publication Date
July 1, 2020
Volume
2020-July
Start / End Page
749 / 754