PRISM - Privacy-Preserving Search in MapReduce

75 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

XPIR : Private Information Retrieval for Everyone (2016, background): “Together, these works total about eighty citations, and have been used as a fundamental building block (or as a benchmark) in major and recent venues such as Usenix Security [15] (2011), NDSS [16, 17] (2013, 2014), and PETs [18, 19, 20, 21] (2010, 2012, 2014).”
Secure Matrix Multiplication with MapReduce (2017, methodology): “More precisely, the state-of-the-art techniques for execution of MapReduce computations while preserving privacy focus on problems such as word search [3, 8], information retrieval [14, 8], count queries [19, 8], equijoins [8], and range queries [8].”
Efficient Private File Retrieval by Combining ORAM and PIR (2014, methodology): “Similar to previous work [2], we have used the PIR scheme from Trostle and Parrish [20], because of its conceptual simplicity and efficient server computation (adding two PIR values is simply an integer addition).”