A Scalable Distributed Private Stream Search System

With the coming of the era of big data, people are more concerned about data privacy. On the one hand, the users are more eager for fresh and low-latency search results than ever before. On the other hand, they do not want to open the search criteria. To this end, this paper proposes a scalable distributed private stream search system, in which the search criteria is hidden by homomorphic encryption technique with three buffers. Most importantly, the system adopts shared-nothing architecture to support the horizontal scalability, and partitions the stream into segments to achieve parallel query and bitmap index-based storage. Experimental results show the effectiveness and efficiency of our method on private stream search.