Research On Data Integrity Audit And Privacy Protection Mechanism Based On Cloud Storage

Cloud storage technology provides users with a large amount of storage space.More and more users use cloud storage services to transfer local data to the cloud for data sharing with multiple users.However,although the cloud platform is much more powerful and secure than individual workstations,there are still security issues such as data loss,data tampering and identity privacy disclosure.Therefore,the privacy preservation of users and the integrity of cloud data have become urgent problems to be solved.This paper studies the audit mechanism of data integrity in cloud storage,points out some problems existing in the current cloud storage audit scheme,and proposes corresponding solutions:(1)In the cloud storage and shared data integrity audit scheme,the disclosure of group member identity privacy will increase the possibility of malicious modification of user data.Once the data is modified,whether identity traceability can be achieved will become the key to establish a safe and efficient cloud storage data integrity audit mechanism.In order to solve this problem,a new entity permission distribution center is introduced to manage group users,which can not only guarantee the privacy of group membership but also effectively realize identity traceability.In this paper,the security of the proposed scheme is proved and the performance of the algorithm is experimentally verified.(2)When solving the problem of data integrity verification in the cloud,the security assumptions used are often based on Integer Factorization problem and Diffie Hellman problem.However,with the introduction of quantum theory,the traditional integrity verification protocol of cloud data has been proved unable to resist quantum attack.This paper proposes a dynamic integrity verification mechanism of cloud data based on Bloom Filter.Firstly,by grouping user files and using the small integer solution problem in lattice theory as the security model of verification method,a lattice-based signature algorithm was designed,and the security of user data was verified by combining its features of short signature length and unforgery.Secondly,cloud service providers can maintain data privacy better by generating integrity evidence in a linear combination.Finally,through the comparison of security proof and performance,it can be seen that the scheme achieves the goal of correctness and feasibility on the basis of ensuring security.