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PET
2012
Springer

PRISM - Privacy-Preserving Search in MapReduce

8 years 6 months ago
PRISM - Privacy-Preserving Search in MapReduce
We present PRISM, a privacy-preserving scheme for word search in cloud computing. In the face of a curious cloud provider, the main challenge is to design a scheme that achieves privacy while preserving the efficiency of cloud computing. Solutions from related research, like encrypted keyword search or Private Information Retrieval (PIR), fall short of meeting real-world cloud requirements and are impractical. PRISM’s idea is to transform the problem of word search into a set of parallel instances of PIR on small datasets. Each PIR instance on a small dataset is efficiently solved by a node in the cloud during the “Map” phase of MapReduce. Outcomes of map computations are then aggregated during the “Reduce” phase. Due to the linearity of PRISM, the simple aggregation of map results yields the final output of the word search operation. We have implemented PRISM on Hadoop MapReduce and evaluated its efficiency using real-world DNS logs. PRISM’s overhead over non-private s...
Erik-Oliver Blass, Roberto Di Pietro, Refik Molva,
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where PET
Authors Erik-Oliver Blass, Roberto Di Pietro, Refik Molva, Melek Önen
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