Preserving Privacy in Horizontally Partitioned Databases Using Hierarchical Model
Now-a-days, business organizations and government sectors need to maintain large amounts of data to be integrated in distributed databases for storing from scientific experiments, daily transactions in businesses etc. The data may contain personal information as well. It is necessary to preserve information about the individuals in many organizations. So this paper is introduced to implement a distributed anonymization protocol to store data about the users on horizontally partitioned databases by providing secure query protocol to share data according to the specified query from the virtual databases. It concentrates on architecture querying heterogeneous distributed and also private databases.