eSkyline: Processing Skyline Queries over Encrypted Data
Summary: eSkyline enables skyline queries over encrypted data without order-preserving encryption, for outsourced datasets. It proposes an encryption scheme that preserves domination, enabling skyline algorithms to run server-side, with decryption only at the client. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Suvarna Bothe (Rutgers University)
- 2. Panagiotis Karras (Rutgers University)
- 3. Akrivi Vlachou (Norwegian Institute of Technology)
BibTeX Citation
@article{bothe_vldb13,
title = {{eSkyline: Processing Skyline Queries over Encrypted Data}},
author = {Bothe, Suvarna and Karras, Panagiotis and Vlachou, Akrivi},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1338--1341},
doi = {10.14778/2536274.2536310},
url = {https://doi.org/10.14778/2536274.2536310},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,916 | Adaptive Indexing over Encrypted Numeric Data | 2016 | SIGMOD | 5.6462255e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 115 | Executing SQL over Encrypted Data in the Database-Service-Provider Model | 2002 | SIGMOD | 0.00031742473 |
| 311 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00021327947 |
| 638 | An Optimal and Progressive Algorithm for Skyline Queries | 2003 | SIGMOD | 0.00015338893 |
| 1,213 | Maximal Vector Computation in Large Data Sets | 2005 | VLDB | 0.00011512468 |
| 2,307 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.6665657e-05 |
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