When Private Set Intersection Meets Big Data: An Efficient and Scalable Protocol

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Provided by: University of Stirling
Topic: Security
Format: PDF
Large scale data processing brings new challenges to the design of privacy-preserving protocols: how to meet the increasing requirements of speed and throughput of modern applications, and how to scale up smoothly when data being protected is big. Efficiency and scalability become critical criteria for privacy preserving protocols in the age of big data. In this paper, the authors present a new Private Set Intersection (PSI) protocol that is extremely efficient and highly scalable compared with existing protocols. The protocol is based on a novel approach that they call oblivious bloom intersection.
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