Identification of Corrupted Cloud Storage in Batch Auditing

Abstract

In cloud storage services, users can store their data in remote cloud servers. Due to new and challenging security threats toward outsourced data, remote data integrity checking has become a crucial technology in cloud storage services. Recently, many integrity checking protocols have been proposed. Several protocols support batch auditing, but they do not support efficient identification when batch auditing fails. In this paper, we propose a new identification method for the corrupted cloud in multi-cloud environments without requiring any repeated auditing processes.