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Range Search over Encrypted Multi-Attribute Data

Summary: First systematic framework for multi-attribute range search on symmetrically encrypted outsourced DBs, adapting geometric structures (range trees, quadtrees) to operate on encrypted data with formal security guarantees. Six parallelizable schemes provide tunable efficiency–security tradeoffs and are validated via complexity/security analyses, a prototype, and experiments on real datasets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13314
Venue
VLDB
Year
2023
Pagerank
5.0670573e-05
Overall Rank
6,424 | 55.32%
DOI
10.14778/3574245.3574247

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,746 OasisDB: An Oblivious and Scalable System for Relational Data 2025 VLDB 4.1945683e-05
10,869 Towards Practical Oblivious Map 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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