Hierarchical Model for Preserving Privacy in Vertically Partitioned Distributed Databases

Abstract

[7,8] and for vertically partitioned data the method proposed in [15] if the data stored at two sites. Here we are proposed a novel method to provide privacy to the data if the data is vertically partitioned and distributed over sites. The major advantage of proposed method is to reduce transmission load and to provide privacy using multidimensional distributed method that is similar to the most popular method Mondrian multidimensional k-anonymity [5].