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Detection of Stealthy False Data Injection Attacks Against Cyber-Physical Systems: A Stochastic Coding Scheme

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Guo Haibin 1,2   Pang Zhonghua 3   Sun Jian 1,2   Li Jun 4 *  
文摘 This paper, from the view of a defender, addresses the security problem of cyber-physical systems(CPSs)subject to stealthy false data injection(FDI)attacks that cannot be detected by a residual-based anomaly detector without other defensive measures. To detect such a class of FDI attacks, a stochastic coding scheme, which codes the sensor measurement with a Gaussian stochastic signal at the sensor side, is proposed to assist an anomaly detector to expose the FDI attack. In order to ensure the system performance in the normal operational context, a decoder is adopted to decode the coded sensor measurement when received at the controller side. With this detection scheme, the residual under the attack can be significantly different from that in the normal situation, and thus trigger an alarm. The design condition of the coding signal covariance is derived to meet the constraints of false alarm rate and attack detection rate. To minimize the trace of the coding signal covariance, the design problem of the coding signal is converted into a constraint non-convex optimization problem, and an estimation-optimization iteration algorithm is presented to obtain a numerical solution of the coding signal covariance. A numerical example is given to verify the effectiveness of the proposed scheme.
来源 Journal of Systems Science and Complexity ,2022,35(5):1668-1684 【核心库】
DOI 10.1007/s11424-022-1005-z
关键词 Attack detection ; cyber-physical systems(CPSs) ; stealthy FDI attacks ; stochastic coding
地址

1. School of Automation, Beijing Institute of Technology, State Key Lab of Intelligent Control and Decision of Complex Systems, Beijing, 100081  

2. Beijing Institute of Technology Chongqing Innovation Center, Chongqing, 401120  

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

4. China Industrial Control Systems Cyber Emergency Response Team, Beijing, 100040

语种 英文
文献类型 研究性论文
ISSN 1009-6124
学科 电子技术、通信技术
基金 国家自然科学基金 ;  the National Key R&D Program of China ;  北京市自然科学基金
文献收藏号 CSCD:7394050

参考文献 共 29 共2页

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引证文献 3 篇

1 Guo Haibin Residual-Based False Data Injection Attacks Against Multi-Sensor Estimation Systems IEEE/CAA Journal of Automatica Sinica,2023,10(5):1181-1191
CSCD被引 0 次

2 Men Yunzhe Composite Anti-Disturbance Control of Hidden Semi-Markov Jump Systems via Disturbance Observer Journal of Systems Science and Complexity,2023,36(6):2255-2273
CSCD被引 0 次

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