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)
Incoming Non-self Citations Over Time
Authors
- 1. Zikai Ye
- 2. Xiangyu Wang
- 3. Zesen Liu
- 4. Dan Zhu
- 5. Jianfeng Ma
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,283 | Enabling Index-free Adjacency in Oblivious Graph Processing with Delayed Duplications | 2026 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016113151 |
| 2,148 | Spatial Keyword Query Processing: An Experimental Evaluation | 2013 | VLDB | 9.4278918e-05 |
| 2,549 | Efficient Oblivious Database Joins | 2020 | VLDB | 8.5572389e-05 |
| 2,650 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.3691955e-05 |
| 3,026 | Towards Practical Oblivious Join | 2022 | SIGMOD | 7.691304e-05 |
| 8,073 | Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures | 2023 | VLDB | 4.5889649e-05 |
| 8,457 | Efficient Searchable Encryption Through Compression | 2018 | VLDB | 4.5018004e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,346 | Fast Range Query Processing with Strong Privacy Protection for Cloud Computing | 2014 | VLDB | 5.55723e-05 |
| 8,670 | Authenticating Top-k Queries in Location-based Services with Confidentiality | 2014 | VLDB | 4.466511e-05 |
| 6,395 | Range Search over Encrypted Multi-Attribute Data | 2023 | VLDB | 5.0766624e-05 |
| 4,775 | Practical Private Range Search Revisited | 2016 | SIGMOD | 5.9275924e-05 |
| 2,020 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.7766925e-05 |
| 5,624 | A Scalable Index for Top-k Subtree Similarity Queries | 2019 | SIGMOD | 5.4049016e-05 |
| 8,916 | Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data | 2022 | VLDB | 4.4229886e-05 |
| 8,457 | Efficient Searchable Encryption Through Compression | 2018 | VLDB | 4.5018004e-05 |
| 11,800 | Fast Searchable Encryption With Tunable Locality | 2017 | SIGMOD | 4.1905499e-05 |
| 10,324 | A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries | 2026 | VLDB | 4.1905499e-05 |