Blockchain-Based Deduplication and Integrity Auditing over Encrypted Cloud Storage

Mingyang Song, Zhongyun Hua, Yifeng Zheng, Hejiao Huang, Xiaohua Jia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

29 Citations (Scopus)

Abstract

Cloud computing promises great advantages in handling the exponential data growth. Secure deduplication can greatly improve cloud storage efficiency while protecting data confidentiality. In the meantime, when data are outsourced to the remote cloud, there is an imperative need to audit the integrity. Most existing works only consider the support for either secure deduplication or integrity auditing. Recently, there have been some research efforts aiming to integrate secure deduplication with integrity auditing. However, prior works are unsatisfactory in that they suffer from the leakage of ownership privacy and forgeability of auditing results for low-entropy data. In this paper, we propose a new scheme that delicately bridges secure deduplication and integrity auditing in encrypted cloud storage. In contrast with prior works, our scheme protects the ownership privacy and prevents the cloud service provider from forging the auditing results for low-entropy data. Furthermore, we propose a blockchain-based mechanism that helps to ensure key recoverability and reduce local storage cost of keys. Formal analysis is provided to justify the security guarantees. Experiment results demonstrate the modest performance overhead of our scheme.

Original languageEnglish
Pages (from-to)4928-4945
Number of pages18
JournalIEEE Transactions on Dependable and Secure Computing
Volume20
Issue number6
DOIs
Publication statusPublished - Jan 2023

Keywords

  • Blockchain
  • integrity auditing
  • ownership privacy
  • secure deduplication

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

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