Research On Data Integrity Audit In Cloud Storage

In the context of explosive growth in data volume,the development of cloud storage services has brought great convenience to users.Users can save abundant storage and computing resources by storing data on cloud servers.The feature that the server can provide services at any time and on demand also makes it favored by more users.However,compared with local data storage,users lose direct control of the data in the cloud server.This also makes data security the biggest challenge facing the development of cloud storage.Various external attacks and internal failures may cause the user's data to be damaged.In order to protect the integrity of outsourced data,researchers have proposed various cloud data auditing solutions to remotely verify the integrity of data in cloud servers without local data.This thesis also researched the cloud data integrity verification scheme,and proposed the following two schemes:(1)A distributed public audit scheme based on blockchain is proposed.The solution is an improvement on the traditional public audit framework,using multiple cloud servers to replace third-party auditors to perform audit work,and using blockchain to record the audit process.Then through electronic voting,smart contracts are used to realize the statistics of independent audit results of multiple cloud servers.Even if a few cloud servers have dishonest audit behaviors,the final audit results cannot be affected,which improves the reliability and stability of the audit.And in the audit process,the cloud server uses the block hash value as a random number to add to the data proof calculation,which not only ensures the randomness and unpredictability of the data,but also records the time of each audit,so that users can easily check the audit process.(2)A data auditing scheme with lightweight calculation and verification is proposed.This solution simplifies the user's label calculation operation before uploading the data,while still ensuring the security of the user's uploading data.Correspondingly,the calculation tasks of the cloud server and the auditor are also reduced,and the calculation overhead is further reduced.And in order to protect user data privacy,the scheme draws on the scrambling encryption in image encryption,allowing users to use random functions to scramble the location of the data block,and at the same time allow the auditor to calculate the true location of the data block,and successfully complete the audit operation.