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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)

Paper ID
h07cc96e14c779a99
Venue
VLDB
Year
2013
Pagerank
4.9793485e-05
Overall Rank
12,565 | 15.52%
DOI
10.14778/2536274.2536310

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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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