An Efficient Public Auditing Method with Periodic Verification for Data Integrity in Cloud

Abstract

With the huge development in cloud computing services, cloud storage becomes an important service for individuals and organization, with the capabilities of on-demand outsourcing application. After outsourcing the data, owner has no physical control over remotely present data. To verify the data integrity, several efficient cryptographic techniques related to provable data possession (PDP) were proposed to check the remote data integrity without downloading it from the cloud storage server. In this paper, with the knowledge of interactive PDP protocol, we propose an efficient public auditing method based on probabilistic queries and periodic verification to improve the performance of audit service. The method reduces the leakage of the data by public auditing and reduces the computational and communication cost of audit services by selecting the secured parameter. Our experimental result shows it incurs less communication cost.