App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 11

Spatiotemporal-constrained local differential privacy trajectory publishing method for areas of interest

Gong Guana
Li Xiaohuia
Zhang Xingb
Lan Jiec
a. School of Electronics & Information Engineering, b. Smart Campus Construction Center, c. College of Science, Liaoning University of Technology, Jinzhou Liaoning 121000, China
DOI: 10.19734/j.issn.1001-3695.2026.01.0075

Abstract

This paper proposed a spatiotemporal-constrained local differential privacy trajectory publishing method for areas of interest, termed ST-LDPAoI (Spatiotemporal-Constrained Local Differential Privacy for Areas of Interest) , to address sensitive stay-semantics leakage and long-range jump deformation caused by perturbation in trajectory publishing. The method used a hidden semi-Markov model with explicit duration modeling on the client side to detect stay points and construct areas of interest. Under areas-of-interest constraints, it constructed a candidate domain and applied distance-stratified randomized response for constrained perturbation, suppressing trajectory deformation and long-range jumps, with a floor term to guarantee full output support. Theoretical analysis showed that ST-LDPAoI satisfies ε-local differential privacy. Experiments on the GeoLife and Rome Taxi datasets with multiple baselines showed that the F1-score of stay point detection increased by 4.14% and 9.20% compared with SPDM-TSR. Under the same privacy budget, the average DTWS decreased by 16.61% and 15.50% compared with LDPTPM-AoI. The method effectively balances the protection of sensitive stay semantics and trajectory utility, enhancing the practical value of trajectory data.

Foundation Support

国家自然科学基金项目(62203201)
2024年辽宁省属本科高校基本科研业务费专项资金资助(LJZZ212410154025)
辽宁省科技厅联合计划项目(2025JH2/101800231)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.01.0075
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 11

Publish History

[2026-07-09] Accepted Paper

Cite This Article

龚关, 李晓会, 张兴, 等. 时空约束下兴趣区域驱动的本地差分隐私轨迹发布方法 [J]. 计算机应用研究, 2026, 43 (11). (2026-07-31). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0075. (Gong Guan, Li Xiaohui, Zhang Xing, et al. Spatiotemporal-constrained local differential privacy trajectory publishing method for areas of interest [J]. Application Research of Computers, 2026, 43 (11). (2026-07-31). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0075. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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