• DocumentCode
    3064286
  • Title

    How to Track Your Data: The Case for Cloud Computing Provenance

  • Author

    Zhang, Olive Qing ; Kirchberg, Markus ; Ko, Ryan K L ; Lee, Bu Sung

  • Author_Institution
    Cloud & Security Lab., Hewlett-Packard Labs., Singapore, Singapore
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 1 2011
  • Firstpage
    446
  • Lastpage
    453
  • Abstract
    Provenance, a meta-data describing the derivation history of data, is crucial for the uptake of cloud computing to enhance reliability, credibility, accountability, transparency, and confidentiality of digital objects in a cloud. In this paper, we survey current mechanisms that support provenance for cloud computing, we classify provenance according to its granularities encapsulating the various sets of provenance data for different use cases, and we summarize the challenges and requirements for collecting provenance in a cloud, based on which we show the gap between current approaches to requirements. Additionally, we propose our approach, Data PROVE, that aims to effectively and efficiently satisfy those challenges and requirements in cloud provenance, and to provide a provenance supplemented cloud for better integrity and safety of customers´ data.
  • Keywords
    cloud computing; data encapsulation; meta data; DataPROVE; cloud computing provenance; data tracking; digital object confidentiality; meta data; provenance data encapsulation; Cloud computing; Hardware; Law; Operating systems; Protocols; Security; Cloud Computing; Data Provenance; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4673-0090-2
  • Type

    conf

  • DOI
    10.1109/CloudCom.2011.66
  • Filename
    6133175