European Journal of Molecular & Clinical Medicine

Abstract

Association rule data mining provides to integrate large volume of dataset and extract information for making effective decisions. The extracting useful information is found large number of disjoint dataset with multiple cloud federations. Cloud federation is a collection of shared data and hosted from multiple cloud user environment. In this case the organizations are sharing data and adopt changing environments. The privacy preserving is an important factor and allows the organization to control the cloud environments while accessing the data. In the paper, we use association rule mining in federated cloud environment using spark model for preserving privacy. In this framework set of user can allows to access the private dataset and encrypt the dataset for providing privacy. In our proposed model we consider confidentiality, privacy and integrity major factors. We propose privacy preserving identity access mode with attribute based access control mechanism in cloud environment. The user can get access from set of policies granted by cloud environment. The spark model is used for testing the experiments and compares the results with existing methods.