4.7 Article

Enabling Fast Public Auditing and Data Dynamics in Cloud Services

Journal

IEEE TRANSACTIONS ON SERVICES COMPUTING
Volume 15, Issue 4, Pages 2047-2059

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TSC.2020.3030947

Keywords

Cloud computing; Metadata; Data privacy; Indexes; Encryption; Public auditing; data integrity; data dynamics; cloud computing; security

Funding

  1. Institute of Information & communications Technology Planning & Evaluation (IITP) - Korea government(MSIT) [2019-0-00533]
  2. MSIT (Ministry of Science and ICT), Korea [IITP-2020-0-01819]

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This article revisits public auditing for encrypted data and proposes a novel scheme that efficiently supports data dynamics and improves the verification speed for auditing results.
Public auditing enables efficient integrity checks of data assigned to cloud servers. In this article, we revisit the public auditing for encrypted data, in which a major concern is how to effectively support data dynamics, i.e., data modification, insertion, and deletion. We first determine which factor in existing auditing schemes most limits data dynamics from a cost perspective. We then propose a novel public auditing scheme that provides data dynamics that are orders of magnitude faster than previous methods. Our auditing challenge-response protocol reduces the computation cost of the third-party auditor (TPA) significantly, thus increasing the verification speed for the auditing results. Performance and security analysis demonstrates that the proposed scheme generates minimal computation costs while guaranteeing data integrity and privacy against an untrusted cloud.

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