Replay attack detection using a zonotopic KF and LQ approach
10.1109/SMC42975.2020.9282865
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/340375
Tipus de documentText en actes de congrés
Data publicació2020
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This paper exploits the analogy between the stochastic and zonotopic Kalman filters with the aim of formulating a metric that allows to assess the impact of an external zonotopically bounded signal in an state estimate optimal control scheme. To that end, the concept of linear quadratic zonotopic (LQZ) controller is introduced. Besides, the design of a zonotopically bounded watermarking signal such that enforces replay attack detectability is also addressed. The proposed detection scheme takes advantage of the observability loss of an textit{a priori} known exogenous signal during the replay phase of the attack. Consequently, by injecting the corresponding estimation error generated by a set-based observer, a zonotopically bounded signal such that imposes replay attack detectability is achieved. A numerical example is provided.
Descripció
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CitacióTrapiello, C.; Puig, V. Replay attack detection using a zonotopic KF and LQ approach. A: IEEE International Conference on Systems, Man, and Cybernetics. "2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 3117-3122. DOI 10.1109/SMC42975.2020.9282865.
Versió de l'editorhttps://ieeexplore.ieee.org/document/9282865
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