Research On Integrity Auditing And Security Deduplication Technology Of Outsourced Data In Cloud Storage

Cloud storage as a new storage paradigm enables resource-constrained users to remotely store their large amounts of data to cloud servers and enjoy on-demand high quality data storage service.The data owners do not have to manage and maintain their data,which greatly saves the cost of storage and management.However,while the benefits of cloud storage are clear,such a service inevitably faces some new problems and challenges and has attracted extensive attention from academic and industrial communities.First of all,cloud storage mode is relinquishing data owners'physical possession of their outsourced data.Once the outsourced data are damaged due to cloud servers' software and hardware failure or for their own interests,the users cannot determine whether the cloud servers intactly and correctly store their data.Secondly,as a growing number of individuals and enterprises have been migrating their data to the cloud servers,the amount of cloud data is exploding due to the large amount of duplicated data,which makes cloud servers increasingly burdened with storage,thus affecting the storage,search and audit of cloud storage.Therefore,the security and storage efficiency of cloud storage have become the significant concerns in the future development of cloud storage.Thus,more and more researchers pay attention to the integrity auditing and secure deduplication of cloud storage.In this paper,we focus on the security and storage efficiency of cloud storage.Specifically,the research direction includes:(1)How to achieve dynamic data updating and privacy protection in integrity auditing for cloud storage;(2)How to solve the security and storage efficiency problems of cloud storage at the same time.The main contributions of our work can be summarized as follows:1.We attempt to study the dynamic data updating and privacy protection in integrity audit for cloud storage.We explore a new authenticator by introducing dynamic accumulator.Based on the new authenticator and double dynamic hash table,we propose a novel privacypreserving public cloud auditing scheme for dynamic data storage.Thus,our proposed scheme not only ensures data privacy but also supports concurrent multi-blocks fully dynamic data updating(including insertion,deletion,modification).Furthermore,our proposed scheme realizes the provable updating.2.We further study how to achieve both security and storage efficiency of cloud storage.In view of the duplication of file and corresponding authenticators in public integrity auditing,we propose a novel public cloud auditing scheme for deduplication cloud storage.Our proposed scheme realizes not only file deduplication but also authenticator deduplication.Moreover,our proposed scheme achieves secure encrypted file deduplication by introducing convergent encryption technology,and protects the confidentiality of users' data.Furthermore,we expand this scheme to support batch auditing,which greatly improves the efficiency of auditing.