When datasets are distributed on different sources, finding out their intersection while preserving the privacy of the datasets is a widely required task. In this paper, we addre...
With the growing demand of databases outsourcing and its security concerns, we investigate privacy-preserving set intersection in a distributed scenario. We propose a one-round pr...
We propose a more efficient privacy preserving set intersection protocol which improves the previously known result by a factor of O(N) in both the computation and communication c...
Abstract. We present protocols for distributed computation of relational intersections and equi-joins such that each site gains no information about the tuples at the other site th...
Recently there has been a significant amount of work on privacy-preserving set operations, including: set intersection [14, 6, 21, 9], testing set disjointness [17], multi-set ope...