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Secure and Practical Functional Dependency Discovery in Outsourced Databases

Xinle Cao, Yuhan Li, Dmytro Bogatov, Jian Liu, Kui Ren

2024Year
1Citations
2Top-tier citations

Abstract

The popularity of cloud computing has made outsourced databases prevalent in real-world applications. To protect data security, numerous encrypted outsourced databases have been proposed for this paradigm. However, the maintenance of encrypted databases has scarcely been addressed. In this paper, we focus on a typical maintenance task -functional dependency (FD) discovery. We develop novel FD protocols in encrypted databases while guaranteeing minimal leakages: nothing is revealed besides the database size and the actual discovered FDs. As far as we know, we are the first to formally define secure FD discovery with minimal leakage.

We present two oblivious FD protocols and prove them secure in the presence of the persistent adversary (monitoring processes on the server). The first protocol leverages Oblivious RAM (ORAM) and is suitable for dynamic databases. The second protocol relies on oblivious sorting and is more practical in static databases due to high parallelism. We also present a thorough experimental evaluation of the proposed methods.

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