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Volume 10 Issue 4
Apr.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2023  >  10(4): 985-996
L. Zou, Z. D. Wang, B. Shen, H. L. Dong, and G. P. Lu, “Encrypted finite-horizon energy-to-peak state estimation for time-varying systems under eavesdropping attacks: Tackling secrecy capacity,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 985–996, Apr. 2023. doi: 10.1109/JAS.2023.123393
Citation: L. Zou, Z. D. Wang, B. Shen, H. L. Dong, and G. P. Lu, “Encrypted finite-horizon energy-to-peak state estimation for time-varying systems under eavesdropping attacks: Tackling secrecy capacity,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 985–996, Apr. 2023. doi: 10.1109/JAS.2023.123393
shu

Encrypted Finite-Horizon Energy-to-Peak State Estimation for Time-Varying Systems Under Eavesdropping Attacks: Tackling Secrecy Capacity

doi: 10.1109/JAS.2023.123393
  • 1.

    College of Information Science and Technology, Donghua University, Shanghai 201620, and also with the Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai 201620, China

  • 2.

    College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China, and also with the Department of Computer Science, Brunel University London, Uxbridge, Middlesex UB8 3PH, UK

  • 3.

    Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing 163318, the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, and the Sanya Offshore Oil & Gas Research Institute, Northeast Petroleum University, Sanya 572024, China

  • 4.

    School of Electrical Engineering, Nantong University, Nantong 226019, China

Funds:  This work was supported in part by the National Natural Science Foundation of China (62273087, 61933007, 62273088, U21A2019, 62073180), the Shanghai Pujiang Program of China (22PJ1400400), the Program of Shanghai Academic/Technology Research Leader of China (20XD1420100), the European Union’s Horizon 2020 Research and Innovation Programme (820776) (INTEGRADDE), the Royal Society of UK, and the Alexander von Humboldt Foundation of Germany
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    Abstract
  • This paper is concerned with the problem of finite-horizon energy-to-peak state estimation for a class of networked linear time-varying systems. Due to the inherent vulnerability of network-based communication, the measurement signals transmitted over a communication network might be intercepted by potential eavesdroppers. To avoid information leakage, by resorting to an artificial-noise-assisted method, we develop a novel encryption-decryption scheme to ensure that the transmitted signal is composed of the raw measurement and an artificial-noise term. A special evaluation index named secrecy capacity is employed to assess the information security of signal transmissions under the developed encryption-decryption scheme. The purpose of the addressed problem is to design an encryption-decryption scheme and a state estimator such that: 1) the desired secrecy capacity is ensured; and 2) the required finite-horizon ${\boldsymbol{l}_{{\boldsymbol{2}}}}$–${\boldsymbol{l}_{{\boldsymbol{\infty}}}}$ performance is achieved. Sufficient conditions are established on the existence of the encryption-decryption mechanism and the finite-horizon state estimator. Finally, simulation results are proposed to show the effectiveness of our proposed encryption-decryption-based state estimation scheme.

     

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    Highlights

    • The secure energy-to-peak state estimation is studied for the first time against eavesdropping
    • An artificial-noise-based encryption scheme is developed to protect the information security
    • The desired estimator parameter is calculated by solving certain recursive matrix inequalities

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