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

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 (<i>IND-CLA</i>) and guarantees <i>Integrity and Unforgeability</i> under the bilinear <i>q</i>-strong Diffie-Hellman assumption. Our performance evaluations showed reduced server-side storage overhead, efficient proof generation, and a significant reduction in user-side computational complexity by a factor of log <i>n</i>. Finally, GPU-accelerated optimizations significantly enhance EKV-VBQ's performance, reducing computational overhead by up to 50%, making EKV-VBQ highly efficient and suitable for deployment in environments with limited computational resources.

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Publication Details

Journal
Sensors
Published
2024-10-22
DOI
https://doi.org/10.3390/s24216792
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.35

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article

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

Jingjing Chen, Yuxi Li, Fucai Zhou, Dong Ji
1 citations
Sensors
Cryptography and Data Security
0.35
article

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

Jingjing Chen, Yuxi Li, Fucai Zhou, Dong Ji
article en
1 citations

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 (<i>IND-CLA</i>) and guarantees <i>Integrity and Unforgeability</i> under the bilinear <i>q</i>-strong Diffie-Hellman assumption. Our performance evaluations showed reduced server-side storage overhead, efficient proof generation, and a significant reduction in user-side computational complexity by a factor of log <i>n</i>. Finally, GPU-accelerated optimizations significantly enhance EKV-VBQ's performance, reducing computational overhead by up to 50%, making EKV-VBQ highly efficient and suitable for deployment in environments with limited computational resources.

SensorsVol. 24(21)
Northeastern University (CN)
Natural Science Foundation of Liaoning Province, Fundamental Research Funds for the Central Universities
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Cryptography and Data Security
0.35
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EKV-VBQ: Ensuring Verifiable Boolean Queries in Encrypted Key-Value Stores — Jingjing Chen, Yuxi Li, et al. · Sensors (2024) | TGRS Research Map | TGRS