Fast Range Query Processing with Strong Privacy Protection for Cloud Computing
Summary: PBtree privacy-preserving range queries on clouds; achieves index indistinguishability under IND-CKA. Introduces structure/node indistinguishability and width/depth minimization, yielding O(|R| log n) time; evaluated on 5M items, 10-item results 0.17 ms. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rui Li
- 2. Alex X. Liu
- 3. Ann L. Wang
- 4. Bezawada Bruhadeshwar
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,799 | Practical Private Range Search Revisited | 2016 | SIGMOD | 5.9119553e-05 |
| 6,424 | Range Search over Encrypted Multi-Attribute Data | 2023 | VLDB | 5.0670573e-05 |
| 8,297 | Adaptive Indexing over Encrypted Numeric Data | 2016 | SIGMOD | 4.5435639e-05 |
| 10,021 | Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding | 2026 | SIGMOD | 4.1945683e-05 |
| 10,746 | OasisDB: An Oblivious and Scalable System for Relational Data | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074232718 |
| 118 | Executing SQL over Encrypted Data in the Database-Service-Provider Model | 2002 | SIGMOD | 0.00045685662 |
| 324 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00027444645 |
| 395 | Dynamic Authenticated Index Structures for Outsourced Databases | 2006 | SIGMOD | 0.00024433049 |
| 1,386 | A Privacy-Preserving Index for Range Queries | 2004 | VLDB | 0.00012261809 |
| 2,655 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.3622816e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,935 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB | 0.00010032967 |
| 12,083 | Efficiency and Security in Similarity Cloud Services | 2013 | VLDB | 4.1945683e-05 |
| 8,674 | Authenticating Top-k Queries in Location-based Services with Confidentiality | 2014 | VLDB | 4.4707969e-05 |
| 6,424 | Range Search over Encrypted Multi-Attribute Data | 2023 | VLDB | 5.0670573e-05 |
| 12,128 | A Moving-Object Index for Efficient Query Processing with Peer-Wise Location Privacy | 2012 | VLDB | 4.1945683e-05 |
| 8,914 | Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data | 2022 | VLDB | 4.427232e-05 |
| 1,386 | A Privacy-Preserving Index for Range Queries | 2004 | VLDB | 0.00012261809 |
| 4,799 | Practical Private Range Search Revisited | 2016 | SIGMOD | 5.9119553e-05 |
| 7,923 | Efficient B-tree Based Indexing for Cloud Data Processing | 2010 | VLDB | 4.6155204e-05 |
| 10,312 | A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries | 2026 | VLDB | 4.1945683e-05 |