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OBIR-tree: An Efficient Oblivious Index for Spatial Keyword Queries on Secure Enclaves

Summary: OBIR-tree: an oblivious top-k spatial keyword index for encrypted data, hiding search, access, and volume patterns, built from IR-tree and PathORAM. SGX + Real/Dummy Tree (RDT) lowers enclave costs; experiments show 25x–723x speedups vs baselines on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7114
Venue
SIGMOD
Year
2025
Pagerank
5.6393827e-05
Overall Rank
7,337 | 49.67%
DOI
10.1145/3709688

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ye_sigmod25,
        title = {{OBIR-tree: An Efficient Oblivious Index for Spatial Keyword Queries on Secure Enclaves}},
        author = {Ye, Zikai and Wang, Xiangyu and Liu, Zesen and Zhu, Dan and Ma, Jianfeng},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709688},
        url = {https://dl.acm.org/doi/10.1145/3709688},
        year = {2025}
}

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