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 distributedprivate 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.