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
- 2. Panagiotis Karras
- 3. Akrivi Vlachou
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,297 | Adaptive Indexing over Encrypted Numeric Data | 2016 | SIGMOD | 4.5435639e-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 |
|---|---|---|---|---|
| 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 |
| 749 | An Optimal and Progressive Algorithm for Skyline Queries | 2003 | SIGMOD | 0.00017228334 |
| 1,473 | Maximal Vector Computation in Large Data Sets | 2005 | VLDB | 0.00011828508 |
| 2,655 | Secure kNN Computation on Encrypted Databases | 2009 | SIGMOD | 8.3622816e-05 |
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