This work presents a SSE scheme that provides a practical trade-off between performance and privacy. Our scheme supports highly efficient one-round multi-keyword query over symmetrically encrypted large-scale data. Meanwhile, our scheme provides semantic security against chosen-keyword attacks (IND2-CKA) and mitigates the leakage of search pattern. We present the security analysis and the query accuracy analysis of our scheme. Experimental evaluations conducted on large representative real-word data set show that compared to the state-of-the-art, the proposed solution indeed introduces high query performance and accuracy, and low overhead of index updates. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Cheng, F., Wang, Q., Zhang, Q., & Peng, Z. (2014). Highly efficient indexing for privacy-preserving multi-keyword query over encrypted cloud data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8485 LNCS, pp. 348–359). Springer Verlag. https://doi.org/10.1007/978-3-319-08010-9_37
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