Identity-based Data Integrity Verification In Cloud Storage

In cloud storage,the user's data stored in the cloud server.The data is no longer directly regulated by the user,which can not ensure the complete of the data stored in the cloud.How to protect the data integrity in the cloud has become a hot topic of academic research.Data integrity verification is an effective way to ensure data integrity in cloud storage.This paper studies the problem of data integrity verification based on identity cryptography.The contributions mainly include the following two main points:(1)In order to solve the uncredibility of the data integrity verification caused by the key escrow in the identity-based cryptosystem,the identity-based aggregation signature is proposed by using the identity-based aggregation signature on the basis of IBPV.Specifically,the secret key generated by the user will be used to computes tags of files,and the private key generated by the PKG is used to sign the information such as the encrypted public key generated by the user,so as to improve the credibility and security of the data integrity verification.(2)In order to ensure the data integrity in the dynamic environment,a dynamic updating mechanism is proposed by using the Merkel tree.We set the leaf node value of the Merkel tree and the construction method of non-leaf node.The mechanism designs the full dynamic update(modification,insert,delete)of the data,and supports the data batch modification and deletion,thus realizing the dynamic data integrity verification.And then we adjust the scheme enable dynamic data integrity verificationIt shows that the performance of the scheme is safe and feasible through the security,simulation experiments and complexity analysis.