Research On Data Integrity Auditing In Cloud Storage

Based on the pay-as-you-go model of cloud storage services,users can outsource their data to cloud server(CS)and enjoy convenient data storage services with lower storage and management costs.However,cloud storage faces data confidential and integrity problems.First of all,the data storage mode based on cloud storage is difficult to guarantee the security of the outsourced data.The hardware and software failure of CS or the interests of cloud service provider(CSP)will corrupt the cloud data,and the data availability cannot be guaranteed.Secondly,in order to avoid data integrity and availability problems caused by centralized data storage,many organizations and users store data to multiple CSs.However,multi-cloud storage still faces data integrity and availability problems.Therefore,the secure storage of the outsourced data and the secure data storage in multicloud are the problems that urgently need to be further studied in the cloud storage.In this paper,we focus on integrity auditing of the outsourced data in cloud storage and data integrity auditing in multi-cloud storage.The work mainly includes the following two aspects:(1)How to provide the integrity auditing and privacy protection of outsourced data in cloud storage.(2)How to remove the aggregator and secure data auditing in multi-cloud storage.The main contributions of this paper are summarized as follows:(1)We study the integrity auditing and privacy protection of the outsourced data in cloud storage.A public cloud auditing scheme is designed to protect the privacy of the EHR data by combining a dynamically adjustable-capacity cuckoo filter with linked list.We solve the problem of integrity check for EHRs,improve the efficiency of data search and update,and extend the single category batch auditing to the multi-category batch auditing to improve the efficiency of data audit.Furthermore,this scheme achieves provable update of data from CSP and the third party auditor(TPA).(2)We further study the data integrity auditing for multi-cloud storage.Based on the symmetric balanced incomplete block design,a decentralized self-auditing scheme with error localization for multi-cloud storage is designed.This scheme can locate the misbehavior CS and resist denial-of-service attack to improve the robustness of the scheme.Furthermore,it supports data recovery and batch auditing to improve the scalability of the scheme.