Controlling Outsourcing Data in Cloud Computing with Attribute-Based Encryption

In our IT society, cloud computing is clearly becoming one of the dominating infrastructures for enterprises as long as end users. As more cloud based services available to end users, their oceans of data are outsourced in the cloud as well. Without any special mechanisms, the data may be leaked to a third party for unauthorized use. Most presented works of cloud computing put these emphases on computing utility or new types of applications. But in the view of cloud users, such as traditional big companies, data in cloud computing systems is tend to be out of control and privacy fragile. So most of data they outsourced is less important. A mechanism to guarantee the ownership of data is required. In this paper, we analyzed a couple of recently presented scalable data management models to describe the storage patterns of data in cloud computing systems. Then we defined a new tree-based dataset management model to solve the storage and sharing problems in cloud computing. A couple of operation strategies including data encryption, data boundary maintenance, and data proof are extracted from the view of different entities in the cloud. The behaviors of different users are controlled by view management on the tree. Based on these strategies, a flexible data management mechanism is designed in the model to guarantee entity privacy, data availability and secure data sharing.