Abstract
We consider a distributed system that stores user sensitive data across multiple nodes. In this context, we address the problem of privacy-preserving top-k query processing. We propose a novel system, called SD-TOPK, which is able to evaluate top-k queries over encrypted distributed data without needing to decrypt the data in the nodes where they are stored. We implemented and evaluated our system over synthetic and real databases. The results show excellent performance for SD-TOPK compared to baseline approaches.
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Notes
- 1.
This journal paper is a major extension of [23].
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Mahboubi, S., Akbarinia, R., Valduriez, P. (2019). Privacy-Preserving Top-k Query Processing in Distributed Systems. In: Hameurlain, A., Wagner, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII. Lecture Notes in Computer Science(), vol 11860. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60531-8_1
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