Research On Data Integrity Checking In Cloud Storage

In recent years, cloud computing has been the research hot topic and an important trend of current information technology development. It provides a series of service for users. Cloud storage comes after the concept of cloud computing as a service. Cloud computing has many advantages comparing to traditional technology:Flexible resources, secure controlled, reliable data, cost savings, and unified management, cheap fault tolerance. More and more users prefer to choose cloud service. Cloud storage plays as a core service, it inherits the relevant characteristics of cloud computing:High scalability, high reliability, low cost, easy to manage and easy access to data. It is popular for its characteristics in storage area. Cloud storage outsources users’data to the Cloud. Users will concern about data security. Data security restricts the development of cloud storage.This paper focuses on cloud storage’s data integrity research. First of all, the definition of cloud storage and cloud security, related knowledge of cloud storage and data integrity, the model of classic data integrity is introduced. We also do an analysis of existing models. We propose a cloud storage integrity checking scheme, which is based on third party audit. We design a batch dynamic provable data possession (BDPDP) scheme, which can complete integrity checking efficiently and reliably. We propose an embedded merkle hash tree structure for the batch dynamic provable data possession scheme. The structure uses aggregate bilinear maps short signatures algorithm for batch integrity checking. Then we do a series of experiments for comparing with classic scheme model. At last, the paper gets a conclusion and does a forecast for the research.This paper proposed structure performing low computing overhead and communication overhead for ensuring integrity checking efficiency. The structure also plays a perfect performance in accurate location for batch integrity checking for incorrect data. Then the scheme has a good supporting for cloud storage dynamic operation. The algorithm and scheme proposes a hot research area.