Sparse Undetectable Sensor Attacks Against Cyber-Physical Systems: A Subspace Approach

被引:18
|
作者
Zhao, Zhengen [1 ]
Li, Yuzhe [2 ]
Yang, Ying [3 ]
Li, Linlin [4 ]
Xu, Yunsong [5 ]
Zhou, Jing [6 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
[2] Northeastern Univ, Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[3] Peking Univ, State Key Lab Turbulence & Complex Syst, Dept Mech & Engn Sci, Beijing 100871, Peoples R China
[4] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[5] Beijing Inst Astronaut Syst Engn, Beijing 100076, Peoples R China
[6] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2C6, Canada
基金
中国国家自然科学基金;
关键词
Cyber-physical systems; State estimation; Circuits and systems; Null space; Detectors; Automation; Dynamical systems; sparse attacks; undetectable attacks; subspace approach; security; STATE ESTIMATION;
D O I
10.1109/TCSII.2019.2953238
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this brief, the data-driven design of sparse undetectable sensor attacks against cyber-physical systems is studied, with the aid of subspace approach. First, the undetectable and sparse sensor attack design schemes are proposed based on the physical models. Then the data-driven realizations of sparse undetectable sensor attacks are designed via identifying the subspace from the collected input and output data. Moreover, the impacts of sparse undetectable sensor attacks are evaluated by solving the constraint optimization problems. Finally, the simulations on an unmanned aerial vehicle are illustrated to testify the effectiveness of the proposed methods.
引用
收藏
页码:2517 / 2521
页数:5
相关论文
共 50 条
  • [1] Security analysis for cyber-physical systems under undetectable attacks: A geometric approach
    Zhao, Zhengen
    Yang, Ying
    Li, Yuzhe
    Liu, Ruijie
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (11) : 4359 - 4370
  • [2] Data-Driven Attack Detection and Identification for Cyber-Physical Systems Under Sparse Sensor Attacks
    Zhao, Zhengen
    Xu, Yunsong
    Li, Yuzhe
    Zhen, Ziyang
    Yang, Ying
    Shi, Yang
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (10) : 6330 - 6337
  • [3] Secure Switched Observers for Cyber-Physical Systems Under Sparse Sensor Attacks: A Set Cover Approach
    Lu, An-Yang
    Yang, Guang-Hong
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (09) : 3949 - 3955
  • [4] Adversarial Sensor Attacks Against Uncertain Cyber-Physical Systems: A Dynamic Output Feedback Approach
    Pant, Kartik A.
    Khan, Shiraz
    Hwang, Inseok
    IEEE CONTROL SYSTEMS LETTERS, 2024, 8 : 2997 - 3002
  • [5] Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time Non-Linear Cyber-Physical Systems
    Sanchez, Borja Bordel
    Alcarria, Ramon
    Robles, Tomas
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 76 (03): : 3189 - 3218
  • [6] Stochastic Stealthy False Data Injection Attacks Against Cyber-Physical Systems
    Liu, Ruirui
    Yu, Hao
    Hao, Fei
    IEEE SYSTEMS JOURNAL, 2022, 16 (04): : 6009 - 6020
  • [7] Reinforcement Learning Solution for Cyber-Physical Systems Security Against Replay Attacks
    Yu, Yan
    Yang, Wen
    Ding, Wenjie
    Zhou, Jiayu
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 18 : 2583 - 2595
  • [8] Design of Stealthy Joint Attacks Against Cyber-Physical Systems: A Reachable Set Approach
    Zhang, Qirui
    Dai, Wei
    Liu, Kun
    Wang, Lanhao
    Yang, Chunyu
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2025, 22 : 10333 - 10342
  • [9] Statistical Approach to Detection of Attacks for Stochastic Cyber-Physical Systems
    Marelli, Damian
    Sui, Tianju
    Fu, Minyue
    Lu, Renquan
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 66 (02) : 849 - 856
  • [10] Observer Design for Cyber-Physical Systems With State Delay and Sparse Sensor Attacks
    Zhang, Man
    Lin, Chong
    Li, Yadong
    Chen, Bing
    IEEE ACCESS, 2021, 9 : 3261 - 3268