Achieving usable and privacy-assured similarity search over outsourced cloud data

By Kui Ren, Shucheng Yu, Karthik Mahendra Raje Urs. 2012 Proceedings IEEE INFOCOM, 2012

349 citations recorded by the source corpus.

How researchers see this paper

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A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data (2016, methodology): “For example, the existing techniques on keyword-based information retrieval, which are widely used on the plaintext data, cannot be directly applied on the encrypted data.”
Privacy-preserving multi-keyword ranked search over encrypted cloud data (2011, methodology): “Computation time (also called "running time") is the length of time required to perform a computational process for example searching a keyword, generating trapdoor etc. Computation overhead is related to CPU utilization in terms of resource allocation measured in time.”
Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement (2016, background): “The new contributions in this paper compared with [11], [12], [13], [14], [15], [16], [19], [32], [33] are summarized as follows: 1) For the first time, we explore the problem of personalized multi-keyword ranked search over encrypted cloud data.”