Stackelberg game-based optimal secure control against hybrid attacks for networked control systems

This paper investigates the problem of optimal secure control for networked control systems under hybrid attacks. A control strategy based on the Stackelberg game framework is proposed, which differs from conventional methods by considering both denial-of-service (DoS) and false data injection (FDI) attacks simultaneously. Additionally, the stability conditions for the system under these hybrid attacks are established. It is technically challenging to design the control strategy by predicting attacker actions based on Stcakelberg game to ensure the system stability under hybrid attacks. Another technical difficulty lies in establishing the conditions for mean-square asymptotic stability due to the complexity of the attack scenarios. Finally, simulations on an unstable batch reactor system under hybrid attacks demonstrate the effectiveness of the proposed strategy.

Authors

Publication Details

Journal
Journal of Automation and Intelligence
Published
2025-04-01
DOI
https://doi.org/10.1016/j.jai.2025.03.006
Citations
2
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stackelberg game-based optimal secure control against hybrid attacks for networked control systems

Wei Xiong, Yi Dong, L. Zhou
2 citations
Journal of Automation and Intelligence
Smart Grid Security and Resilience
2.43
article

Stackelberg game-based optimal secure control against hybrid attacks for networked control systems

Wei Xiong, Yi Dong, L. Zhou
article en
2 citations

Abstract

This paper investigates the problem of optimal secure control for networked control systems under hybrid attacks. A control strategy based on the Stackelberg game framework is proposed, which differs from conventional methods by considering both denial-of-service (DoS) and false data injection (FDI) attacks simultaneously. Additionally, the stability conditions for the system under these hybrid attacks are established. It is technically challenging to design the control strategy by predicting attacker actions based on Stcakelberg game to ensure the system stability under hybrid attacks. Another technical difficulty lies in establishing the conditions for mean-square asymptotic stability due to the complexity of the attack scenarios. Finally, simulations on an unstable batch reactor system under hybrid attacks demonstrate the effectiveness of the proposed strategy.

Journal of Automation and IntelligenceVol. 4(3)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Rising-Star Program
Openalex Percentile: Top 12%
Smart Grid Security and Resilience
2.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Stackelberg game-based optimal secure control against hybrid attacks for networked control systems — Wei Xiong, Yi Dong, et al. · Journal of Automation and Intelligence (2025) | TGRS Research Map | TGRS