Towards Zonotopic Replay Attack Detection for Unmanned Surface Vehicles

Jitao Li; Xing Liu; Zhenhua Wang; Yujia Wang; Mingjun Zhang; Tarek Raïssi; Xudong Wang

doi:10.1016/j.ifacol.2023.10.1807

Towards Zonotopic Replay Attack Detection for Unmanned Surface Vehicles

Jitao Li^*
, Xing Liu^*
, Zhenhua Wang
, Yujia Wang^*
, Mingjun Zhang^*
, Tarek Raïssi
, Xudong Wang

^*Corresponding author for this work

Harbin Engineering University
School of Astronautics, Harbin Institute of Technology
Conservatoire national des arts et métiers
Hunan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This work is concerned with the problem of replay attack detection for unmanned surface vehicles subject to bounded perturbations. A novel zonotopic noisy control input is designed to reveal the signature of replay attacks. The resulting performances of control loss and detection increased are characterized as the size of a steady-state set and a measurement deviation set, respectively. Sufficient conditions for optimizing the detection while guaranteeing a prescribed level of control performance are formulated as a Lyapunov equation. Simulation results demonstrate the validity and viability of the proposed method.

Original language	English
Title of host publication	IFAC-PapersOnLine
Editors	Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
Publisher	Elsevier B.V.
Pages	4344-4349
Number of pages	6
Edition	2
ISBN (Electronic)	9781713872344
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.1807
State	Published - 1 Jul 2023
Externally published	Yes
Event	22nd IFAC World Congress - Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023

Publication series

Name	IFAC-PapersOnLine
Number	2
Volume	56
ISSN (Electronic)	2405-8963

Conference

Conference	22nd IFAC World Congress
Country/Territory	Japan
City	Yokohama
Period	9/07/23 → 14/07/23

Keywords

Cyber-physical security
Replay attacks
Unmanned surface vehicle
Zonotope

Access to Document

10.1016/j.ifacol.2023.10.1807

Cite this

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title = "Towards Zonotopic Replay Attack Detection for Unmanned Surface Vehicles",

abstract = "This work is concerned with the problem of replay attack detection for unmanned surface vehicles subject to bounded perturbations. A novel zonotopic noisy control input is designed to reveal the signature of replay attacks. The resulting performances of control loss and detection increased are characterized as the size of a steady-state set and a measurement deviation set, respectively. Sufficient conditions for optimizing the detection while guaranteeing a prescribed level of control performance are formulated as a Lyapunov equation. Simulation results demonstrate the validity and viability of the proposed method.",

keywords = "Cyber-physical security, Replay attacks, Unmanned surface vehicle, Zonotope",

author = "Jitao Li and Xing Liu and Zhenhua Wang and Yujia Wang and Mingjun Zhang and Tarek Ra{\"i}ssi and Xudong Wang",

note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",

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doi = "10.1016/j.ifacol.2023.10.1807",

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series = "IFAC-PapersOnLine",

publisher = "Elsevier B.V.",

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editor = "Hideaki Ishii and Yoshio Ebihara and Jun-ichi Imura and Masaki Yamakita",

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Li, J, Liu, X, Wang, Z, Wang, Y, Zhang, M, Raïssi, T & Wang, X 2023, Towards Zonotopic Replay Attack Detection for Unmanned Surface Vehicles. in H Ishii, Y Ebihara, J Imura & M Yamakita (eds), IFAC-PapersOnLine. 2 edn, IFAC-PapersOnLine, no. 2, vol. 56, Elsevier B.V., pp. 4344-4349, 22nd IFAC World Congress, Yokohama, Japan, 9/07/23. https://doi.org/10.1016/j.ifacol.2023.10.1807

Towards Zonotopic Replay Attack Detection for Unmanned Surface Vehicles. / Li, Jitao; Liu, Xing; Wang, Zhenhua et al.
IFAC-PapersOnLine. ed. / Hideaki Ishii; Yoshio Ebihara; Jun-ichi Imura; Masaki Yamakita. 2. ed. Elsevier B.V., 2023. p. 4344-4349 (IFAC-PapersOnLine; Vol. 56, No. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Jitao

AU - Liu, Xing

AU - Wang, Zhenhua

AU - Wang, Yujia

AU - Zhang, Mingjun

AU - Raïssi, Tarek

AU - Wang, Xudong

PY - 2023/7/1

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N2 - This work is concerned with the problem of replay attack detection for unmanned surface vehicles subject to bounded perturbations. A novel zonotopic noisy control input is designed to reveal the signature of replay attacks. The resulting performances of control loss and detection increased are characterized as the size of a steady-state set and a measurement deviation set, respectively. Sufficient conditions for optimizing the detection while guaranteeing a prescribed level of control performance are formulated as a Lyapunov equation. Simulation results demonstrate the validity and viability of the proposed method.

AB - This work is concerned with the problem of replay attack detection for unmanned surface vehicles subject to bounded perturbations. A novel zonotopic noisy control input is designed to reveal the signature of replay attacks. The resulting performances of control loss and detection increased are characterized as the size of a steady-state set and a measurement deviation set, respectively. Sufficient conditions for optimizing the detection while guaranteeing a prescribed level of control performance are formulated as a Lyapunov equation. Simulation results demonstrate the validity and viability of the proposed method.

KW - Cyber-physical security

KW - Replay attacks

KW - Unmanned surface vehicle

KW - Zonotope

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DO - 10.1016/j.ifacol.2023.10.1807

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PB - Elsevier B.V.

T2 - 22nd IFAC World Congress

Y2 - 9 July 2023 through 14 July 2023

ER -

Towards Zonotopic Replay Attack Detection for Unmanned Surface Vehicles

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Keywords

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