Verifying Integrity of Big Data in Cloud Databases

Abstract

While the user-base of cloud computing is growing rapidly, data owners worry about security of the data they store on clouds. Lack of appropriate control over the data might cause security violations. Therefore, all sensitive data stored in cloud databases must be protected at all times. This research paper outlines how data owners can keep their data secure and trustworthy, and how they can verify integrity of data in a cloud computing environment. The proposed model uses data partitioning to reach this goal. We have carried out performance analyses of the model through simulation and the results demonstrate the effectiveness of the model.