Database outsourcing reduces the cost of data management; however, the confidentiality of the outsourced data is a main challenge. Existing solutions [9,13,16,17] either adopt multiple encryption schemes for data confidentiality that only support limited operations, or focus on providing efficient retrieval with problematic update support. In this paper, we propose a secure database outsourcing scheme (SEDB) based on Shamir’s threshold secret sharing for practical confidentiality against honest-but-curious database servers. SEDB supports a set of commonly used operations, such as addition, subtraction, and comparison, and is among the first to support multiplication, division, and modulus. We implement a prototype of SEDB, and the experiment results demonstrate a reasonable processing overhead.
CITATION STYLE
Cai, Q., Lin, J., Li, F., & Wang, Q. (2015). SEDB: Building secure database services for sensitive data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8958, pp. 16–30). Springer Verlag. https://doi.org/10.1007/978-3-319-21966-0_2
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