首页|Analysis of Stealthy False Data Injection Attacks Against Networked Control Systems:Three Case Studies

Analysis of Stealthy False Data Injection Attacks Against Networked Control Systems:Three Case Studies

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This paper mainly investigates the security problem of a networked control system based on a Kalman filter.A false data injection attack scheme is proposed to only tamper the measurement output,and its stealthiness and effects on system performance are analyzed under three cases of system knowledge held by an attacker and a defender.Firstly,it is derived that the proposed attack scheme is stealthy for a residual-based detector when the attacker and the defender hold the same accurate system knowledge.Secondly,it is proven that the proposed attack scheme is still stealthy even if the defender actively modifies the Kalman filter gain so as to make it different from that of the attacker.Thirdly,the stealthiness condition of the proposed attack scheme based on an inaccurate model is given.Furthermore,for each case,the instability conditions of the closed-loop system under attack are derived.Finally,simulation results are provided to test the proposed attack scheme.

False data injection attacknetworked control systems(NCSs)stabilitystealthiness

PANG Zhonghua、FU Yuan、GUO Haibin、SUN Jian

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Key Laboratory of Fieldbus Technology and Automation of Beijing,North China University of Technology,Beijing 100144,China

National Key Laboratory of Autonomous Intelligent Unmanned Systems,School of Automation,Beijing In-stitute of Technology,Beijing 100081,China

Beijing Institute of Technology Chongqing Innovation Center,Chongqing 401120,China

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金北京市自然科学基金

621730026192530362088101U20B2073617201060114222045

2023

系统科学与复杂性学报(英文版)
中国科学院系统科学研究所

系统科学与复杂性学报(英文版)

CSCDEI
影响因子:0.181
ISSN:1009-6124
年,卷(期):2023.36(4)
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