Verifiable method for remote data integrity supporting different granular operation
Junzhong Li · Journal of Jilin University · 2012
Data security and privacy protection are big challenges of the cloud computing.Different operations in public auditing scheme,such as data communication,data storage,integrity and availability checking,dynamic data,data signature have different demands on the data granularity.The paper proposes an integrity checking scheme with different granular operation.In the proposed scheme,the data is divided into three different granularities insisting of block,sub-block and basic block.The scheme supports public auditability and data block dynamics.The performances of the communication and storage as well as the security are analyzed.The results show that our scheme is efficient and secure.