EKV-VBQ: Ensuring Verifiable Boolean Queries in Encrypted Key-Value Stores.

Yuxi Li, Jingjing Chen, Fucai Zhou, Dong Ji

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yuxi LiSchool of Computer Science and Engineering, Northeastern University, Shenyang 110819, China.ORCID 0000-0002-6697-1796

Jingjing ChenSchool of Computer Science and Engineering, Northeastern University, Shenyang 110819, China.

Fucai ZhouSoftware College, Northeastern University, Shenyang 110819, China.

Dong JiNational Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang 110819, China.

Funding

Fundamental Research Funds for the Central Universi- ties N2316007Natural Science Foundation of Liaoning Province 2023-BS-053

6 · The paper itself

Abstract

To address the deficiencies in privacy-preserving expressive query and verification mechanisms in outsourced key-value stores, we propose EKV-VBQ, a scheme designed to ensure verifiable Boolean queries over encrypted key-value data. We have integrated blockchain and homomorphic Xor operations and pseudo-random functions to create a secure and verifiable datastore, while enabling efficient encrypted Boolean queries. Additionally, we have designed a lightweight verification protocol using bilinear map accumulators to guarantee the correctness of Boolean query results. Our security analysis demonstrates that EKV-VBQ is secure against adaptive chosen label attacks (

Indexed as

bilinear accumulatorsblockchainencrypted key-value storeshomomorphic encryptionverifiable Boolean queries

Identifiers

PMID39517689

DOI10.3390/s24216792

PMCPMC11548281

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.