Research On Cloud Storage Data Verification

With the wide use of cloud computing, more and more users store their data and files in the cloud server. Although cloud storage brings great convenience for users, it also brings some problems. User data and files on the server may suffer from accidental tampering or lost, while this may happen without being discovered by the user and the cloud server. Therefore, we need to periodically validate the users’data to ensure the completeness and correctness of the users’ data and files.This paper reviews the cloud storage data validation method firstly. Then introduce the concept of data validation and authentication method design principles, and briefly describes the existing methods. Then regarding to the shortcomings in the existing methods, this paper propose the ideas and methods of my improvement. In the existing authentication methods, the verifier can only verify the data of a single user during a single calculation process. This paper proposes a method which can verify multiple users’ data during a single calculation process, which not only reduce the verification number of times, but also reduce the amount of data transfer between the authenticator and the cloud storage in the verification process. As for another problem, user data may dynamically change. Existing authentication methods propose a hash tree called Merkle Hash Tree to maintain the file information, while the tree will recalculate the tree node when the user data changes. The Merkle Hash Tree treats all nodes in the same way. The paper proposes that in the practical applications, there exists difference between different files. The frequently used files should have a higher priority while maintain the structure of the hash tree. This paper describes the detailed method and proves the method by experiment, proving that the method can reduce the amount of calculation and improve the efficiency during the update of files.