Abstract
Designing secure and efficient indexes to support selective queries over encrypted data at server side is necessary for outsourced databases. On one hand, the indexes must be associated with plain values in order to locate tuples precisely. On the other hand, the indexes may open a door to leak sensitive information, especially when the indexes are combined with selective encryption. In this paper, we propose DPI, a dual private index for outsourced databases. According to DPI, two types of indexes, incorporated with user-specified random salts, are defined for each attribute. The generalization-based index is used to support server side query over encrypted data and protect data from link inferences, and the value-based index is adaptively used at client side to reduce extra decryption costs. We have conducted some experiments to validate our proposed method.
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Tang, Y., Liu, F., Huang, L. (2014). DPI: Dual Private Indexes for Outsourced Databases. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8397. Springer, Cham. https://doi.org/10.1007/978-3-319-05476-6_30
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DOI: https://doi.org/10.1007/978-3-319-05476-6_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05475-9
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