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Perfect Attackability of Linear Dynamical Systems with Bounded Noise

Publication ,  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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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