Resilient consensus of high-order networks against collusive attacks

Dan Zhao; Yuezu Lv; Guanghui Wen; Zhiwei Gao

doi:10.1016/j.automatica.2023.110934

Resilient consensus of high-order networks against collusive attacks

Dan Zhao, Yuezu Lv, Guanghui Wen^*, Zhiwei Gao

^*Corresponding author for this work

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34 Citations (Scopus)

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Abstract

This paper investigates the resilient consensus problem of high-order networks under malicious attacks. The main difficulty lies in the collusion among attacks against the attack detection and isolation. To overcome such difficulty, a novel attack isolation strategy is developed, based on which, a control algorithm is provided to achieve resilient consensus. A new notion of (r,s)-isolability is introduced to present sufficient conditions for attack isolation. Finally, the effectiveness of the proposed approach is demonstrated by simulation studies.

Original language	English
Article number	110934
Journal	Automatica
Volume	151
Early online date	7 Mar 2023
DOIs	https://doi.org/10.1016/j.automatica.2023.110934
Publication status	Published - 1 May 2023

Keywords

(r,s)-isolability
Attack collusion
Attack isolation
High-order networks
Resilient consensus

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10.1016/j.automatica.2023.110934

Auto-final DanAccepted author manuscript, 1.25 MBLicence: CC BY-NC-ND

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title = "Resilient consensus of high-order networks against collusive attacks",

abstract = "This paper investigates the resilient consensus problem of high-order networks under malicious attacks. The main difficulty lies in the collusion among attacks against the attack detection and isolation. To overcome such difficulty, a novel attack isolation strategy is developed, based on which, a control algorithm is provided to achieve resilient consensus. A new notion of (r,s)-isolability is introduced to present sufficient conditions for attack isolation. Finally, the effectiveness of the proposed approach is demonstrated by simulation studies.",

keywords = "(r,s)-isolability, Attack collusion, Attack isolation, High-order networks, Resilient consensus",

author = "Dan Zhao and Yuezu Lv and Guanghui Wen and Zhiwei Gao",

note = "Funding information: This work was supported in part by the National Natural Science Foundation of China through Grant Nos. U22B2046, 62073079, 62088101 and 62273045, in part by the General Joint Fund of the Equipment Advance Research Program of Ministry of Education, China under Grant No. 8091B022114, and in part by the Fellowship of China Postdoctoral Science Foundation under Grants Nos. 2022TQ0063, 2021TQ0039 and 2022M710384.",

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T1 - Resilient consensus of high-order networks against collusive attacks

AU - Zhao, Dan

AU - Lv, Yuezu

AU - Wen, Guanghui

AU - Gao, Zhiwei

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PY - 2023/5/1

Y1 - 2023/5/1

N2 - This paper investigates the resilient consensus problem of high-order networks under malicious attacks. The main difficulty lies in the collusion among attacks against the attack detection and isolation. To overcome such difficulty, a novel attack isolation strategy is developed, based on which, a control algorithm is provided to achieve resilient consensus. A new notion of (r,s)-isolability is introduced to present sufficient conditions for attack isolation. Finally, the effectiveness of the proposed approach is demonstrated by simulation studies.

AB - This paper investigates the resilient consensus problem of high-order networks under malicious attacks. The main difficulty lies in the collusion among attacks against the attack detection and isolation. To overcome such difficulty, a novel attack isolation strategy is developed, based on which, a control algorithm is provided to achieve resilient consensus. A new notion of (r,s)-isolability is introduced to present sufficient conditions for attack isolation. Finally, the effectiveness of the proposed approach is demonstrated by simulation studies.

KW - (r,s)-isolability

KW - Attack collusion

KW - Attack isolation

KW - High-order networks

KW - Resilient consensus

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DO - 10.1016/j.automatica.2023.110934

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SN - 0005-1098

VL - 151

JO - Automatica

JF - Automatica

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ER -

Resilient consensus of high-order networks against collusive attacks

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Keywords

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