Secure collaborative integrity verification for hybrid cloud environments

Yan Zhu, Shanbiao Wang, Hongxin Hu, Gail-Joon Ahn, Di Ma

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


A hybrid cloud is a cloud computing environment in which an organization provides and manages some internal resources and has others provided externally. However, this new environment could bring irretrievable losses to the clients due to a lack of integrity verification mechanism for distributed data outsourcing. To support scalable service and data migration, in this paper we address the construction of a collaborative integrity verification mechanism in hybrid clouds where we consider the existence of multiple cloud service providers to collaboratively store and maintain the clients' data. We propose a collaborative provable data possession scheme adopting the techniques of homomorphic verifiable responses and hash index hierarchy. In addition, we articulate the performance optimization mechanisms for our scheme and prove the security of our scheme based on multi-prover zero-knowledge proof system, which can satisfy the properties of completeness, knowledge soundness, and zero-knowledge. Our experiments also show that our proposed solution only incurs a small constant amount of communications overhead.

Original languageEnglish (US)
Pages (from-to)165-197
Number of pages33
JournalInternational Journal of Cooperative Information Systems
Issue number3
StatePublished - Sep 2012


  • Integrity verification
  • collaborative
  • hybrid clouds
  • multi-prover

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications


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