Dynamic Memory-Event-Based Privacy-Preserving Security Control for Networked Systems with Sensor Saturation Using a Memory State Observer

This paper addresses privacy-preserving-based control issue for discrete-time networked control systems (NCSS) with sensor saturation via a dynamic memory-assisted event-triggered mechanism (DMAETM) and a memory state observer. A DMAETM is introduced to conserve the constrained network resources and mitigate network congestion by utilizing a dynamic threshold, with the triggered condition based on historical transmission packets. To prevent potential privacy leaks, the RSA encryption-decryption algorithm is implemented to secure the transmitted data. This asymmetric encryption method relies on the computational difficulty of large prime factorization, using a public and private key pair. Afterwards, sufficient condition for ensuring the asymptotic stability of the augmented closed-loop system is established and the corresponding gain parameters are calculated by linear matrix inequality (LMI). Lastly, a numeric example is presented to verify the proposed control strategy.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864836
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic Memory-Event-Based Privacy-Preserving Security Control for Networked Systems with Sensor Saturation Using a Memory State Observer

Lijuan Zha, Jinliang Liu, Jiahui Tang
Network Security and Intrusion Detection
article

Dynamic Memory-Event-Based Privacy-Preserving Security Control for Networked Systems with Sensor Saturation Using a Memory State Observer

Lijuan Zha, Jinliang Liu, Jiahui Tang
article en

Abstract

This paper addresses privacy-preserving-based control issue for discrete-time networked control systems (NCSS) with sensor saturation via a dynamic memory-assisted event-triggered mechanism (DMAETM) and a memory state observer. A DMAETM is introduced to conserve the constrained network resources and mitigate network congestion by utilizing a dynamic threshold, with the triggered condition based on historical transmission packets. To prevent potential privacy leaks, the RSA encryption-decryption algorithm is implemented to secure the transmitted data. This asymmetric encryption method relies on the computational difficulty of large prime factorization, using a public and private key pair. Afterwards, sufficient condition for ensuring the asymptotic stability of the augmented closed-loop system is established and the corresponding gain parameters are calculated by linear matrix inequality (LMI). Lastly, a numeric example is presented to verify the proposed control strategy.

Nanjing University of Finance and Economics (CN), Nanjing Forestry University (CN), Nanjing University of Information Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 68%
Network Security and Intrusion Detection
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