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Privacy-preserving spatial range query for encrypted 3D object data

DOIResolve DOI: https://doi.org/10.1109/WiSEE57913.2025.11229847
AuthorSearch for: 1; Search for: 1; Search for: 1; Search for: 2; Search for: 3ORCID identifier: https://orcid.org/0000-0002-3460-6946
Affiliation
  1. University of New Brunswick
  2. Queen's University
  3. National Research Council Canada. Digital Technologies
FunderSearch for: HORIZON EUROPE Health
FormatText, Article
Conference2025 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), October 14-16, 2025, Halifax, Nova Scotia, Canada
Subjectprivacy-preserving; spatial range query; 3D database; Octree
Abstract
The rapid expansion and wide-ranging uses of three-dimensional (3D) data have underscored the need for efficient and secure management strategies, particularly when data storage and computation tasks are outsourced to cloud-based services. To address the critical privacy concerns that arise from outsourcing sensitive spatial data, we propose a novel privacy-preserving spatial range query scheme specifically designed for encrypted 3D object data by utilizing the Symmetric-key Hidden Vector Encryption (SHVE) technique. Unlike conventional approaches that treat spatial objects as points, our scheme efficiently supports queries over detailed volumetric representations at various levels of detail (LoD). The proposed solution employs an Octree based spatial indexing mechanism combined with Gray code encoding, significantly enhancing spatial partitioning and query efficiency. Additionally, our scheme achieves fine-grained access control to support different LoD requirements. Our comprehensive security analysis and performance evaluations demonstrate the robustness and practicality of the proposed method.
Date published
PublisherInstitute of Electrical and Electronics Engineers
In
  • 2025 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 11229847 (13 November 2025): 1–6.
LanguageEnglish
Peer reviewedYes
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Record identifier7936b69f-5509-4bd2-a841-123bb9c33029
Record created2026-04-17
Record modified2026-06-08

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