A corrupted cloud and corrupted multi-cloud identification method for batch auditing in cloud storage services

Sooyeon Shin, Taekyoung Kwon

Research output: Contribution to journalArticlepeer-review

Abstract

A remote data integrity checking is a crucial technology for cloud storage services because of an increasing threat against user data outsourced in remote cloud servers. Recently, integrity checking protocols have been proposed and in particular for batch auditing. However, they cannot efficiently identify corrupted clouds when batch auditing fails. In this paper, we propose a new protocol to identify a single corrupted cloud in multi-cloud environments without requiring any repeated auditing processes. We analyze the performance of our protocol and compare it with the previous work. By utilizing composite-order bilinear groups, we extend our protocol to support the identification of multiple corrupted clouds.

Original languageEnglish
Pages (from-to)93-102
Number of pages10
JournalComputer Systems Science and Engineering
Volume32
Issue number2
Publication statusPublished - 2017 Mar

Bibliographical note

Funding Information:
This research was supported in part by the National Research Foundation of Korea (NRF-2015-R1A2A2A01004792). This work was also supported in part by the Yonsei University Research Fund of 2014.

Publisher Copyright:
© 2017 CRL Publishing Ltd.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science(all)

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