SecCloud: Bridging secure storage and computation in cloud

  • Lifei Wei*
  • , Haojin Zhu
  • , Zhenfu Cao
  • , Weiwei Jia
  • , Athanasios V. Vasilakos
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

89 Scopus citations

Abstract

Cloud computing becomes a hot research topic in the recent years. In the cloud computing, software applications and databases are moved to the centralized large data centers, which is called cloud. In the cloud, due to lack of physical possession of the data and the machine, the data and computation may not be well managed and fully trusted by cloud users. Existing work on cloud security mainly focuses on cloud storage without taking computation security into consideration. In this paper, we propose SecCloud, a novel auditing scheme to secure cloud computing based on probabilistic sampling technique as well as designated verifier technique, which aims to consider secure data storage, computation and privacy preserving together. We also discuss how to optimize sampling size to minimize the auditing cost. Detailed analysis and simulations have demonstrated the effectiveness and efficiency of the proposed scheme.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 30th International Conference on Distributed Computing Systems Workshops, ICDCSW 2010
Pages52-61
Number of pages10
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE 30th International Conference on Distributed Computing Systems Workshops, ICDCSW 2010 - Genova, Italy
Duration: 21 Jun 201025 Jun 2010

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Conference

Conference2010 IEEE 30th International Conference on Distributed Computing Systems Workshops, ICDCSW 2010
Country/TerritoryItaly
CityGenova
Period21/06/1025/06/10

Keywords

  • Batch verification
  • Cloud computing
  • Data storage secure
  • Designated verification
  • Privacy preserving

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