Range Search over Encrypted Multi-Attribute Data
Summary: First systematic framework for multi-attribute range search on symmetrically encrypted outsourced DBs, adapting geometric structures (range trees, quadtrees) to operate on encrypted data with formal security guarantees. Six parallelizable schemes provide tunable efficiency–security tradeoffs and are validated via complexity/security analyses, a prototype, and experiments on real datasets. (summarized by gpt-5-mini on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,746 | OasisDB: An Oblivious and Scalable System for Relational Data | 2025 | VLDB | 4.1945683e-05 |
| 10,869 | Towards Practical Oblivious Map | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 8,297 | Adaptive Indexing over Encrypted Numeric Data | 2016 | SIGMOD | 4.5435639e-05 |
| 11,792 | Fast Searchable Encryption With Tunable Locality | 2017 | SIGMOD | 4.1945683e-05 |
| 10,312 | A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries | 2026 | VLDB | 4.1945683e-05 |
| 4,799 | Practical Private Range Search Revisited | 2016 | SIGMOD | 5.9119553e-05 |