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 (Hunan University; Nanjing University)
- 2. Alex X. Liu (Michigan State University; Nanjing University)
- 3. Ann L. Wang (Michigan State University)
- 4. Bezawada Bruhadeshwar (Nanjing University)
BibTeX Citation
@article{li_vldb14,
title = {{Fast Range Query Processing with Strong Privacy Protection for Cloud Computing}},
author = {Li, Rui and Liu, Alex X. and Wang, Ann L. and Bruhadeshwar, Bezawada},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {14},
pages = {1953--1964},
doi = {10.14778/2733085.2733089},
url = {https://doi.org/10.14778/2733085.2733089},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,625 | Practical Private Range Search Revisited | 2016 | SIGMOD | 6.5989597e-05 |
| 6,537 | Range Search over Encrypted Multi-Attribute Data | 2023 | VLDB | 5.8478276e-05 |
| 8,531 | Adaptive Indexing over Encrypted Numeric Data | 2016 | SIGMOD | 5.4119882e-05 |
| 9,384 | OasisDB: An Oblivious and Scalable System for Relational Data | 2025 | VLDB | 5.2755515e-05 |
| 9,463 | Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding | 2026 | SIGMOD | 5.2634238e-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 |
|---|---|---|---|---|
| 70 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.0003804755 |
| 114 | Executing SQL over Encrypted Data in the Database-Service-Provider Model | 2002 | SIGMOD | 0.00032363776 |
| 310 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00021766789 |
| 437 | Dynamic Authenticated Index Structures for Outsourced Databases | 2006 | SIGMOD | 0.00018489863 |
| 1,310 | A Privacy-Preserving Index for Range Queries | 2004 | VLDB | 0.00011209219 |
| 2,319 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.7577497e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,504 | A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy | 2014 | VLDB |
| 2 | 12,280 | Efficiency and Security in Similarity Cloud Services | 2013 | VLDB |
| 3 | 8,835 | Authenticating Top-k Queries in Location-based Services with Confidentiality | 2014 | VLDB |
| 4 | 6,537 | Range Search over Encrypted Multi-Attribute Data | 2023 | VLDB |
| 5 | 12,324 | A Moving-Object Index for Efficient Query Processing with Peer-Wise Location Privacy | 2012 | VLDB |
| 6 | 9,068 | Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data | 2022 | VLDB |
| 7 | 1,310 | A Privacy-Preserving Index for Range Queries | 2004 | VLDB |
| 8 | 4,625 | Practical Private Range Search Revisited | 2016 | SIGMOD |
| 9 | 7,827 | Efficient B-tree Based Indexing for Cloud Data Processing | 2010 | VLDB |
| 10 | 10,610 | A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries | 2026 | VLDB |