• DocumentCode
    244086
  • Title

    Cloud Computing: A Risk Assessment Model

  • Author

    Sendi, Alireza Shameli ; Cheriet, Mohamed

  • Author_Institution
    Synchromedia Lab. for Cloud Comput., Ecole de Technol. Super. Montreal, Montreal, QC, Canada
  • fYear
    2014
  • fDate
    11-14 March 2014
  • Firstpage
    147
  • Lastpage
    152
  • Abstract
    Cloud computing has recently emerged compelling paradigm by introducing several characteristics such as on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Despite the fact that cloud computing offers huge cost benefits for companies, the unique security challenges have been introduced in a cloud environment that make risk assessment challenging. Cloud consumers need a protection to their cloud applications against cyber attacks. Although some security controls and policies are devised for each element of cloud computing, we need a framework with overall quantitative risk assessment model. The aim of this paper is to propose a framework for assessing the security risks associated with cloud computing platforms. The fully quantitative, iterative, and incremental approach enables cloud customer/provider to assess and manage cloud security risks. A proper result of risk assessment leads to have appropriate risk management mechanism for mitigating risks and reach to an acceptance security level.
  • Keywords
    cloud computing; risk management; security of data; acceptance security level; cloud applications; cloud computing; cloud consumers; cloud security risks; cost benefits; cyber attacks; quantitative risk assessment model; security challenges; security controls; security policy; Availability; Cloud computing; Companies; Computational modeling; Pragmatics; Risk management; Security; Cloud computing; Risk assessment; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Engineering (IC2E), 2014 IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/IC2E.2014.17
  • Filename
    6903468