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To achieve efficiency and privacy protection on semantic trajectory queries in outsourced environments, in this paper, we present a privacy-preserving semantic trajectory query system based on cloud-fog collaboration, aiming to provide a secure, efficient, and user-friendly solution for querying semantic trajectory data. Based on cloud-fog collaborative computing mechanism, the system features a modular backend and an interactive web-based frontend that together support secure query execution and visual analysis of trajectory results, offering a practical platform for the management of encrypted semantic trajectories.

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A Privacy-Preserving Semantic Trajectory Query System in Cloud-Fog Collaborative Environments

  • 会议论文

  • 发表日期：

    2026年

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  • Kejia Liu,
  • Yiping Teng,
  • Shiqing Wang,
  • Yuyao Tang

摘要

To achieve efficiency and privacy protection on semantic trajectory queries in outsourced environments, in this paper, we present a privacy-preserving semantic trajectory query system based on cloud-fog collaboration, aiming to provide a secure, efficient, and user-friendly solution for querying semantic trajectory data. Based on cloud-fog collaborative computing mechanism, the system features a modular backend and an interactive web-based frontend that together support secure query execution and visual analysis of trajectory results, offering a practical platform for the management of encrypted semantic trajectories.