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http://dx.doi.org/10.13089/JKIISC.2015.25.1.75

A Study on Batch Auditing with Identification of Corrupted Cloud Storage in Multi-Cloud Environments  

Shin, Sooyeon (Graduate School of Information, Yonsei University)
Kwon, Taekyoung (Graduate School of Information, Yonsei University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.25, no.1, 2015 , pp. 75-82 More about this Journal
Abstract
Recently, many public auditing schemes have been proposed to support public auditability that enables a third party auditor to verify the integrity of data stored in the remote cloud server. To improve the performance of the auditor, several public auditing schemes support batch auditing which allows the auditor to handle simultaneously multiple auditing delegations from different users. However, when even one data is corrupted, the batch auditing will fail and individual and repeated auditing processes will be required. It is difficult to identify the corrupted data from the proof in which distinct data blocks and authenticators of distinct users are intricately aggregated. In this paper, we extend a public auditing scheme of Wang et al. to support batch auditing for multi-cloud and multi-user. We propose an identification scheme of the corrupted cloud when the data of a single cloud is corrupted in the batch auditing of multi-cloud and multi-user.
Keywords
Cloud computing; Public auditing; Batch auditing; Identification of corrupted cloud;
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