Survey of secure data deduplication schemes for cloud storage systems

Youngjoo Shin, Dongyoung Koo, Junbeom Hur

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Data deduplication has attracted many cloud service providers (CSPs) as a way to reduce storage costs. Even though the general deduplication approach has been increasingly accepted, it comes with many security and privacy problems due to the outsourced data delivery models of cloud storage. To deal with specific security and privacy issues, secure deduplication techniques have been proposed for cloud data, leading to a diverse range of solutions and trade-offs. Hence, in this article, we discuss ongoing research on secure deduplication for cloud data in consideration of the attack scenarios exploited most widely in cloud storage. On the basis of classification of deduplication system, we explore security risks and attack scenarios from both inside and outside adversaries. We then describe state-of-The-Art secure deduplication techniques for each approach that deal with different security issues under specific or combined threat models, which include both cryptographic and protocol solutions. We discuss and compare each scheme in terms of security and efficiency specific to different security goals. Finally, we identify and discuss unresolved issues and further research challenges for secure deduplication in cloud storage.

Original languageEnglish
Article number3017428
JournalACM Computing Surveys
Volume49
Issue number4
DOIs
Publication statusPublished - 2017 Jan 1

Keywords

  • Deterministic information dispersal
  • Message-dependent encryption
  • Proof of ownership
  • Traffic obfuscation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Survey of secure data deduplication schemes for cloud storage systems'. Together they form a unique fingerprint.

  • Cite this