Maximum likelihood-based identification for FIR systems with binary observations and data tampering attacks

Xinchang Guo; Jiahao Fan; Yan Liu; Xinchang Guo; Jiahao Fan; Yan Liu

doi:10.3934/era.2024188

Electronic Research Archive

2024, Volume 32, Issue 6: 4181-4198. doi: 10.3934/era.2024188

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Research article

Maximum likelihood-based identification for FIR systems with binary observations and data tampering attacks

1.
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2.
Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China

Received: 08 April 2024 Revised: 17 June 2024 Accepted: 24 June 2024 Published: 28 June 2024

The security issue of CPS (cyber-physical systems) is of great importance for their stable operation. Within the framework of system identification, this paper proposed a maximum likelihood estimation algorithm for FIR (finite impulse response) systems with binary observations and data tampering attacks. In the case of data transmission in the communication network being subjected to data tampering attacks after the FIR system sends out data, the objective of this study was to design an algorithm for estimating the system parameters and infer the attack strategies using the proposed algorithm. To begin, the maximum likelihood function of the available data was established. Then, parameter estimation algorithms were proposed for both known and unknown attack strategies. Meanwhile, the convergence condition and convergence proof of these algorithms were provided. Finally, the effectiveness of the designed algorithm was verified by numerical simulations.
- finite impulse response system,
- data tampering attack,
- maximum likelihood method,
- system parameter identification
Citation: Xinchang Guo, Jiahao Fan, Yan Liu. Maximum likelihood-based identification for FIR systems with binary observations and data tampering attacks[J]. Electronic Research Archive, 2024, 32(6): 4181-4198. doi: 10.3934/era.2024188

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Abstract

The security issue of CPS (cyber-physical systems) is of great importance for their stable operation. Within the framework of system identification, this paper proposed a maximum likelihood estimation algorithm for FIR (finite impulse response) systems with binary observations and data tampering attacks. In the case of data transmission in the communication network being subjected to data tampering attacks after the FIR system sends out data, the objective of this study was to design an algorithm for estimating the system parameters and infer the attack strategies using the proposed algorithm. To begin, the maximum likelihood function of the available data was established. Then, parameter estimation algorithms were proposed for both known and unknown attack strategies. Meanwhile, the convergence condition and convergence proof of these algorithms were provided. Finally, the effectiveness of the designed algorithm was verified by numerical simulations.

References

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