SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data

This paper introduces the SecureSphere framework, which employs the Reed Solomon Secret Sharing (RS-SS) scheme for secure and robust data outsourcing and query processing. It ensures data confidentiality, even in collusion scenarios among cloud servers, and guarantees query result integrity against arbitrary failures and malicious actions using RS-SS’s error detection and correction capabilities. SecureSphere also enhances resilience against inference attacks by expanding and partitioning each attribute domain, assigning ranges to attribute values, and selecting random coefficients from these ranges to create the distribution polynomial in the RS-SS scheme. It processes aggregation SQL queries server-side without inter-server communication, and experimental results confirm its practical feasibility in real-world applications.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825064
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.35

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article

SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data

Meghdad Mirabi, Ege Atacan Doğan, Carsten Binnig
1 citations
Cryptography and Data Security
0.35
article

SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data

Meghdad Mirabi, Ege Atacan Doğan, Carsten Binnig
article en
1 citations

Abstract

This paper introduces the SecureSphere framework, which employs the Reed Solomon Secret Sharing (RS-SS) scheme for secure and robust data outsourcing and query processing. It ensures data confidentiality, even in collusion scenarios among cloud servers, and guarantees query result integrity against arbitrary failures and malicious actions using RS-SS’s error detection and correction capabilities. SecureSphere also enhances resilience against inference attacks by expanding and partitioning each attribute domain, assigning ranges to attribute values, and selecting random coefficients from these ranges to create the distribution polynomial in the RS-SS scheme. It processes aggregation SQL queries server-side without inter-server communication, and experimental results confirm its practical feasibility in real-world applications.

Technische Universität Darmstadt (DE)
BD
Openalex Percentile: Top 30%
Cryptography and Data Security
0.35
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SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data — Meghdad Mirabi, Ege Atacan Doğan, et al. · (2024) | TGRS Research Map | TGRS