Public Data Integrity Checking for Cloud Storage with Privacy Preserving

Abstract

Cloud storage service makes people easily to maintain and manage amounts of data with lower cost. In order to ensure the cloud server honestly keeps the client’s data, some remote data integrity checking (RDIC) schemes have been presented. However, in many schemes the original data is not protected at all so that public verifier is able to obtain the data through the integrity checking. To address this issue, we propose an efficient RDIC scheme with data privacy-preserving. In our scheme, we utilize the data masking technique to randomize the original data before generating the final proof which makes the verifier can not get any knowledge about the stored data. Furthermore, experiment result exhibits that our scheme is very efficient and feasible for real applications.