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...
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
We propose a privacy-preserving protocol for computing aggregation queries over the join of private tables. In this problem, several parties wish to share aggregated information ov...