Research On Privacy-preserving And Efficient Cloud Storage Integrity Checking Schemes

Traditional data storage systems have some limitations,e.g.storage capacity and performence,while the cloud storage services can effectively alleviate these issues and have the characteristics of flexibility and portability,so cloud storage is drawing more and more attention from users.However,the cloud storage server may have hardware or software issues,which will seriously threaten the validity of data.To this end,researchers have designed a series of cloud storage data integrity checking schemes.However,some of them are only designed for data integrity and ignore data privacy issues,others protect the data privacy while have low performence.Due to the above issues,this thesis studies privacy-preserving and efficient cloud storage integrity checking schemes,has following the specific works:(1)This thesis puts forward an efficient and privacy-preserving cloud storage integrity checking scheme.The proposed scheme eliminates the costly bilinear pairing operations,reducing the computational overhead of cloud storage integrity checking scheme,and thus improves the efficiency of privacy-preserving cloud storage integrity checking schemes.Then the correctness,soundness and privacy of the scheme are also demonstrated.Finally,mass of experiments are conducted and the experimental results show that the tag computation and the verification of the proposed scheme is more efficient than the classical scheme.(2)This thesis presents online/offline privacy-preserving cloud storage integrity checking schemes.These schemes divide the tag calculation process into offline and online phases and users can output a tag by performing simple operations in the online stage,which can greatly improve the respose time of the system.Concretely,this thesis first gives a framwork of online/offline privacy-preserving cloud storage integrity checking schemes and also proves its security.Then three specific instances are given.Finally,the experimental results show that the computation cost of the proposed scheme is significantly reduced compared with the similar schemes.