• DocumentCode
    2029058
  • Title

    An Actor-centric, Asset-Based Monitor Deployment Model for Cloud Computing

  • Author

    Thakore, Uttam ; Weaver, Gabriel A. ; Sanders, William H.

  • Author_Institution
    Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2013
  • fDate
    9-12 Dec. 2013
  • Firstpage
    311
  • Lastpage
    312
  • Abstract
    Effective monitoring is essential for the security of cloud systems. Although many monitoring tools exist in the cloud domain, there is little guidance on how to deploy monitors to make the most of collected monitor data and increase the chances of detecting security breaches. We introduce an actor-centric, asset-based cloud monitor deployment model that enables practitioners to reason about monitor deployment in terms of the security of their cloud assets. We define an actor model that consolidates several roles in the literature to three roles motivated by security. We then develop an architectural model that identifies the assets that can be owned by each actor, and use it to drive an asset-based cloud threat model. Using our threat model, we describe how a cloud practitioner can reason about monitor deployment to more efficiently deploy monitors and increase its chances of detecting intrusions.
  • Keywords
    cloud computing; security of data; software architecture; system monitoring; actor-centric cloud monitor deployment model; architectural model; asset-based cloud monitor deployment model; asset-based cloud threat model; asset-based monitor deployment model; cloud computing; cloud system security; intrusion detection; monitoring tools; security breach detection; Cloud computing; Computational modeling; Computer architecture; Hardware; Monitoring; Security; actor model; asset-based; cloud architecture; cloud computing; monitor deployment; security; threat modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Utility and Cloud Computing (UCC), 2013 IEEE/ACM 6th International Conference on
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.1109/UCC.2013.67
  • Filename
    6809423