• DocumentCode
    3461794
  • Title

    Public Auditing for Big Data Storage in Cloud Computing -- A Survey

  • Author

    Chang Liu ; Ranjan, Rajiv ; Xuyun Zhang ; Chi Yang ; Georgakopoulos, Dimitrios ; Jinjun Chen

  • Author_Institution
    Fac. of Eng. & IT, Univ. of Technol. Sydney, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    1128
  • Lastpage
    1135
  • Abstract
    Data integrity is an important factor to ensure in almost any data and computation related context. It serves not only as one of the qualities of service, but also an important part of data security and privacy. With the proliferation of cloud computing and the increasing needs in big data analytics, verification of data integrity becomes increasingly important, especially on outsourced data. Therefore, research topics related to data integrity verification have attracted tremendous research interest. Among all the metrics, efficiency and security are two of the most concerned measurements. In this paper, we provide an analysis on authenticator-based efficient data integrity verification. we will analyze and provide a survey on the main aspects of this research problem, summarize the research motivations, methodologies as well as main achievements of several of the representative approaches, then try to bring forth a blueprint for possible future developments.
  • Keywords
    Big Data; cloud computing; data analysis; data privacy; security of data; storage management; Big Data storage; authenticator-based efficient data integrity verification; big data analytics; cloud computing; data privacy; data security; outsourced data; public auditing; qualities of service; Cascading style sheets; Cloud computing; Data handling; Data storage systems; Distributed databases; Information management; Security; big data; cloud computing; data security; integrity verification; public auditing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/CSE.2013.164
  • Filename
    6755345