• DocumentCode
    3773935
  • Title

    Auditing Protocols for Cloud Storage: A Survey

  • Author

    Jun Shen;Sai Ji;Jian Shen;Zhangjie Fu;Jin Wang

  • Author_Institution
    Jiansu Eng. Center of Network Monitoring, Nanjing Univ. of Inf. Sci. &
  • fYear
    2015
  • Firstpage
    222
  • Lastpage
    227
  • Abstract
    So far, cloud storage has been accepted by an increasing number of people, which is not a fresh notion any more. It brings cloud users a lot of conveniences, such as the relief of local storage and location independent access. Nevertheless, the correctness and completeness as well as the privacy of outsourced data are what worry could users. As a result, most people are unwilling to store data in the cloud, in case that the sensitive information concerning something important is disclosed. Only when people feel worry-free, can they accept cloud storage more easily. Certainly, many experts have taken this problem into consideration, and tried to solve it. In this paper, we survey the solutions to the problems concerning auditing in cloud computing and give a comparison of them. The methods and performances as well as the pros and cons are discussed for the state-of-the-art auditing protocols.
  • Keywords
    "Cloud computing","Protocols","Data models","Computational modeling","Security","Information science","Scalability"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence Theory, Systems and Applications (CCITSA), 2015 First International Conference on
  • Type

    conf

  • DOI
    10.1109/CCITSA.2015.51
  • Filename
    7473121