The Research Of Storage Solutions For Data Security In The Cloud Computing Environment

Audit technolodies of data integrity is the hot topic of data safety research in the cloud storage.Though there are various models and methods of PDP.Some problems on safety cannot be solved.Traditional PDP methods are lacking in randomness,they depend on fixed methods to store and verify in the cloud sever.Thus,cloud sever is liable to be attacked.Validation on the cloud sever can save lots of client expenditure.When clients offer a few data,cloud validation can audit quickly and correctly.Therefore,data in the cloud storage can be correct forever and are not easy to be attacked.Common sever storage depends on several host storage,so it is difficult to implement error locating and prevents deceptive aggression.Common pdp methods only check there are errors in the cloud storage.However,they can not check whick sever is wrong.This thesis proposes PDP methods with error locating to solve cloud validation.It help client reduce burdens in the local storage at the same time,accuracy in the storage is guaranteed through information exchange between client and cloud service offers.PDP methods with error locating contain PDP element lead hash layers,homomorphic validation,BDH,conflicts resistances hash,signature encryption and so on.These can ensure data cannot be attacked when users and cloud severs transmit and store data,data transmiting will be safer if the data are encrypted.PDP methods with error locating can verify the storage information in the sever and correct or retransmit wrong CSP data when constructing resistances conflicts hash,bilinear mapping groups and aggregation algorithm.Validation shows that PDP methods with error locating posess higher ececution efgiciency than traditional PDP methods through likelihood verification and parameter optimization.