Research On Cloud Storage Data Integrity Audit Based On Random Authentication Path

With the rapid development of cloud storage technology,one of the basic technologies of cloud computing,more and more companies and individuals have chosen to store data in the cloud.Due to the continuous emergence of cloud storage security issues,especially data loss and data leakage incidents,users are increasingly concerned about cloud storage security issues.As an important part of cloud storage security,data integrity has attracted the attention of experts at home and abroad.At the same time,how to quickly and effectively conduct public audit of data integrity has become a research hot spot.Firstly,it researched and summarized existing data integrity audit methods and analyzed existing problems.On this basis,the research goal of this paper is to improve the efficiency of cloud storage data integrity auditing and reduce the auxiliary storage space.Secondly,in order to solve the low efficiency of existing audit structure,the Bloom filter and the B-tree were combined to form a dynamic Bloom filter as a data verification structure,which reduced auxiliary storage.In addition,a random authentication path generation algorithm was proposed to improve auditing efficiency.Then this paper proposed a cloud storage data integrity audit method(DIAMRAP)based on a random authentication path,and designed the DIAMRAP audit method process and dynamic data operations in detail.Moreover,a security model was proposed based on the integrity audit method,and the security of the DIAMRAP method was analyzed.Finally,a DIAMRAP method prototype system was implemented,and the DIAMRAP method was compared with several common data integrity audit methods to evaluate the data integrity auditing performance of DIAMRAP.Experimental results show that this method can not only reduce the computational overhead,but also improve the auditing security and auditing efficiency.