State Estimation with Location Privacy Protection

In this paper, a state estimation with location privacy protection (LPP) is proposed reduce the exposure of customers' location privacy. The privacy mechanism consists of two parts: The first one is a random response mechanism to the estimator's location request; the second one is a location deviation information which is able to prevent the disclosure of the precise location. This approach provides a lightweight solution for location-sensitive applications where both estimation performance and customers' location privacy. Finally, a simulation example is given to illustrate the effectiveness of the proposed LPP method.

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Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138934
Primary Topic
Privacy-Preserving Technologies in Data
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article
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article

State Estimation with Location Privacy Protection

Hong Lin, Chenxiao Cai, Shijie Yin, Yulong Wang
Privacy-Preserving Technologies in Data
article

State Estimation with Location Privacy Protection

Hong Lin, Chenxiao Cai, Shijie Yin, Yulong Wang
article en

Abstract

In this paper, a state estimation with location privacy protection (LPP) is proposed reduce the exposure of customers' location privacy. The privacy mechanism consists of two parts: The first one is a random response mechanism to the estimator's location request; the second one is a location deviation information which is able to prevent the disclosure of the precise location. This approach provides a lightweight solution for location-sensitive applications where both estimation performance and customers' location privacy. Finally, a simulation example is given to illustrate the effectiveness of the proposed LPP method.

Kunming University of Science and Technology (CN), Shenzhen Polytechnic University (CN), Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 87%
Privacy-Preserving Technologies in Data
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State Estimation with Location Privacy Protection — Hong Lin, Chenxiao Cai, et al. · (2025) | TGRS Research Map | TGRS