• DocumentCode
    652294
  • Title

    Quantitative Risk Analysis for Mobile Cloud Computing: A Preliminary Approach and a Health Application Case Study

  • Author

    Samad, Javeria ; Loke, Seng W. ; Reed, Kyle

  • Author_Institution
    Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    1378
  • Lastpage
    1385
  • Abstract
    Mobile cloud computing is presented as the next logical step in the adoption of cloud based systems. However, there are number of issues inherent in it that may limit its uptake. These issues are best understood as "risks" which span the whole structure and the life cycle of mobile clouds and could be as varied as security, operations, performance, and end-users behaviours. This paper is a first step in developing a quantitative risk model suitable for a dynamic mobile cloud environment. We also use this model to analyse a mobile cloud based health application and report our findings, which have implications for cloud computing as a whole.
  • Keywords
    cloud computing; health care; mobile computing; dynamic mobile cloud; life cycle; mobile cloud based health application; mobile cloud computing; quantitative risk analysis; Bandwidth; Cloud computing; Context; Context modeling; Mobile communication; Probability; Risk management; context aware; mobile cloud computing; quantitative risk analysis; risk model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/TrustCom.2013.166
  • Filename
    6680989