A new technique to partition and manage data security in cloud databases

Cloud computing has brought many advantages to companies and computer users. It allows different service providers to distribute many applications as services in an economical way. Therefore, many users and companies have begun using cloud computing. However, they are concerned about their data when they store it on a third party, the cloud. Fears of leakage of sensitive data or loss of privacy make the adoption of cloud services less attractive for organizations. In this paper an algorithm is presented to protect a table in a database from any leakage. We have developed a model with a view to offer secure data management capability in cloud databases. The model distributes and scatters the data over the cloud or data center in order to protect it from any leakage. Also, it explains the idea of sending the entire domain of the sensitive table into the cloud. In addition, to increase security, the algorithm is designed to store each sensitive data in a different table with a different code and store this code at the client site. Furthermore, a new technique has been designed to collect the data from the cloud by using the bipartite matching algorithm to minimize load costs.