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arXiv · 2210.15875

Dynamic Event-Triggered Discrete-Time Linear Time-Varying System with Privacy-Preservation

Xuefeng Yang·Li Liu·Wenju Zhou·Jing Shi·Yinggang Zhang·Xin Hu·Huiyu Zhou
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Abstract

This paper focuses on discrete-time wireless sensor networks with privacy-preservation. In practical applications, information exchange between sensors is subject to attacks. For the information leakage caused by the attack during the information transmission process, privacy-preservation is introduced for system states. To make communication resources more effectively utilized, a dynamic event-triggered set-membership estimator is designed. Moreover, the privacy of the system is analyzed to ensure the security of the real data. As a result, the set-membership estimator with differential privacy is analyzed using recursive convex optimization. Then the steady-state performance of the system is studied. Finally, one example is presented to demonstrate the feasibility of the proposed distributed filter containing privacy-preserving analysis.

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Xuefeng Yang, Li Liu, Wenju Zhou, Jing Shi, Yinggang Zhang, Xin Hu, Huiyu Zhou. 2022-10-28. Dynamic Event-Triggered Discrete-Time Linear Time-Varying System with Privacy-Preservation. https://arxiv.org/abs/2210.15875

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