• DocumentCode
    690527
  • Title

    Hybrid Multi-cloud Data Security (HMCDS) Model and Data Classification

  • Author

    Zardari, Munwar Ali ; Low Tang Jung ; Zakaria, Muhamed Nording B.

  • Author_Institution
    CIS Dept., Univ. Teknolo gi PETRONAS, Tronoh, Malaysia
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    166
  • Lastpage
    171
  • Abstract
    Cloud computing is one of the most exciting paradigm shifts in distributed computing. Cloud computing is being widely used due to its readily available services at low cost. When the number of cloud users increase this may subsequently lead to data security and privacy threats. Data confidentiality and efficient data retrieval are major issues which block users to adopt cloud computing. The focus of this paper is data confidentiality and efficient data retrieval issues in cloud computing. The data classification and cloud model are proposed to overcome data confidentiality and efficient data retrieval issues. In this paper we propose a new cloud model, i.e., the Hybrid Multi-Cloud Data Security (HMCDS) model with data classification. The model is based on multi-cloud, different clusters and data classification. Two levels of security are considered, i.e., model and data classification based levels.
  • Keywords
    cloud computing; data privacy; information retrieval; pattern classification; security of data; HMCDS model; cloud computing; data classification; data confidentiality; data privacy; data retrieval; data security; distributed computing; hybrid multicloud data security; Computer science; Cloud Computing; Data Classification; Data Security; Hybrid Multi-cloud; Multi-Cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
  • Conference_Location
    Kuching
  • Type

    conf

  • DOI
    10.1109/ACSAT.2013.40
  • Filename
    6836569