Research On Integrity Auditing In Cloud Storage

Along with the rapid development of cloud computing technology,cloud computing provides better services on data management and storage at lower costs by leveraging the scale advantages.In the age of big data,users tend to outsource their local data to cloud servers because it mitigates the burden of local data storage and reduce the maintenance cost.As massive data is stored in cloud servers,people pay more attention to the security of data stored on the cloud server.However,the data owner would lose physical control over data to some extent,which may cause some issues,such as data leakage,hardware failure,and malicious tampering.Data security on the cloud storage is still in doubt,especially when it comes to sensitive data,such as medical data and financial data.Therefore,An efficient auditing on the data integrity of cloud storage is critical to ensure data security.In recent years,the research on the integrity auditing of outsourced data has made great progress.However,there are still some issues in those schemes,such as how to keep between security and efficiency.Therefore,this paper comes up with optimized solutions based on application scenarios.The main research contents are as follows:In order to achieve efficient dynamic auditing,a dynamic outsourced data audit scheme based on the Divide and Conquer Adjacency Table(D&CAT)is proposed.The scheme is mainly based on the basic audit scheme of algebraic signature.In order to protect the data privacy in the audit process,the XOR homomorphic function based on the Knuth-Durstenfeld Shuffle algorithm is used to construct the tag of data block.In order to reduce computational overhead on the dynamic update,a new data structure called D&CAT is designed,which can make the dynamic update of outsourced data more efficiently.What’s more,we also analyze the security and correctness of the scheme.Finally,the experimental result can fully demonstrate the feasibility and efficiency of the scheme.In the public auditing scheme,the Third Party Auditor(TPA)is not completely reliable and vulnerable to adversary attacks.We propose a blockchain-based random auditor committee for integrity verification.In the scheme,the sortition function based on the Verifiable Random Functions(VRF)is used to select randomly the member of the Third Party Auditor Committee(TPAC),which can avoid revealing identity information of TPA in the verification phase.In addition,an consensus algorithm VVPOS(VRF-VRF-POS)combined the POS consensus algorithm with VRF is proposed to construct the blockchain.Finally,we get through a comparative analysis of the scheme,which can fully prove the safety and effectiveness of the proposed scheme.