The Design And Implementation Of The Cloud Data Integrity Audit System

Cloud computing as one of the hot topics in the computer field, its convenience,economy, high scalability and other advantages attract the attention of more and moreenterprises. Security issues, however, has always been a stumbling block in thedevelopment of cloud computing on the road, one of the very important issues is dataintegrity issues. How to make users believe that the data in cloud environment has notbeen tampered, how to make the user audit data to minimize server performance andbandwidth loss, how to protect data in the audit process not leak, become an importantissue of cloud audit applied research.Based on homomorphic verifiable tag and bilinear map structures audit agreement,designs and implements a cloud data integrity auditing system CDIAS, CDIAS adds arandom number in the evidence to protect user data not leaked in the audit process; baseson bilinear mapping mechanism to support batch auditing, which effectively reduces thethe server computational overhead and bandwidth overhead; combines index conversiontable, uses the index number of the data block instead of block number to calculate thelabel, makes the system effectively support the data block dynamically update.Experimental results show that in single file audits, CDIAS’s generate labels, generateevidence and verification evidence time overhead is smaller than the other programs, itsbatch audit time overhead is much more smaller than its single file audit, CDIAS is a safe,efficient cloud data integrity auditing system with extensive functions.