Research On Data Integrity Auditing Schemes For Cloud Storage

With the rapid development of the fourth industrial revolution driven by technologies such as the Internet of Things,big data,robots,and artificial intelligence,traditional data storage methods have been unable to accommodate such huge storage needs.Because it can provide people with highly reliable,efficient,scalable and on-demand storage services at relatively low prices,cloud storage has received widespread attention from industry and academia.Compared with traditional storage methods,cloud storage transfers user data to a remote cloud storage server,and th user loses the physical control of data,which causes a series of security problems.In practical applications,malicious cloud service providers may damage or delete user data,so whether the data is complete and available has become a general concern of users,and the security of data storage faces many challenges unprecedentedly.As an important part of data storage security,data integrity auditing for cloud computing is becoming the focus of academic research.This thesis analyzes the development of the data integrity auditing protocols in recent years.As a result,the thesis proposes two novel protocols,including an efficient privacy-preserving public auditing protocol for cloud storage and identity-based remote data integrity auditing protocol with dynamic operations for cloud storage.The main work of this thesis is as follows:(1)This thesis proposes an efficient privacy-preserving public auditing protocol for cloud storage.The protocol extends the functions of batch auditing and dynamic update.From the comparison between this protocol and other related protocols,our protocol not only achieves the predetermined goals in terms of security and performance,but also guarantees the privacy protection characteristics of users' data.In addition,we analyzed the performance of our protocol from the theoretical and experimental perspectives,and the results show that compared with other related work,our protocol has huge advantages in terms of computational overhead and communication overhead,and the advantage is particularly prominent with the increase of the data.(2)This thesis also proposes an identity-based remote data integrity auditing protocol with dynamic operations for cloud storage.The protocol achieves the dynamic operations for identity-based data integrity auditing protocol.Furthermore,we further expanded the protocol from the aspects of random sampling technology and batch audit,and completed the functional and security goals of the protocol.Finally,we also analyzed the performance of the protocol,and the results show that our protocol has better performance than other related comparison protocols.