Secure kNN Computation on Encrypted Databases
Summary: SCONEDB: secure computation on encrypted databases, focused on kNN. Proposes ASPE, an asymmetric scalar-product-preserving encryption enabling two kNN schemes that resist different attacker knowledge levels, with empirical overhead evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. W. K. Wong (University of Hong Kong)
- 2. David W. Cheung (University of Hong Kong)
- 3. Ben Kao (University of Hong Kong)
- 4. Nikos Mamoulis (University of Hong Kong)
BibTeX Citation
@inproceedings{wong_sigmod09,
title = {{Secure kNN Computation on Encrypted Databases}},
author = {Wong, W. K. and Cheung, David W. and Kao, Ben and Mamoulis, Nikos},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559862},
url = {https://dl.acm.org/doi/10.1145/1559845.1559862},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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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 |
|---|---|---|---|---|
| 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 |
| 1,734 | The New Casper: Query Processing for Location Services without Compromising Privacy | 2006 | VLDB | 9.9009944e-05 |
| 3,099 | Private Queries in Location Based Services: Anonymizers are not Necessary | 2008 | SIGMOD | 7.7612638e-05 |
| 3,500 | Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions | 2007 | SIGMOD | 7.3597562e-05 |
| 4,587 | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach | 2006 | VLDB | 6.6170389e-05 |
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