• DocumentCode
    2967773
  • Title

    An intrusion detection framework for supporting SLA assessment in Cloud Computing

  • Author

    Ficco, Massimo ; Rak, Massimiliano ; Di Martino, Beniamino

  • Author_Institution
    Dipt. di Ing. Ind. e dell´Inf., Second Univ. of Naples (SUN), Aversa, Italy
  • fYear
    2012
  • fDate
    21-23 Nov. 2012
  • Firstpage
    244
  • Lastpage
    249
  • Abstract
    Cloud Computing is the emerging paradigm in distributed environment. It is an opportunity for users to reduce costs and increase efficiency. Cloud Computing represents both a technology for using computing infrastructures in a more efficient way, and a business model for selling computing services and resources. In this context, cyber attacks represent a serious danger, which can compromise the quality of service delivered to the customers. In this paper, a mOSAIC-based framework for providing distributed intrusion detection in Cloud Computing is proposed. It is an architectural framework that collects information at different Cloud architectural levels, using multiple distributed security components, which can be used to perform complex event correlation analysis to identify intrusions in the Cloud system that involve Service Level Agreement violations.
  • Keywords
    cloud computing; distributed processing; security of data; SLA assessment; business model; cloud architectural level; cloud computing; complex event correlation analysis; cyber attack; distributed environment; distributed intrusion detection; mOSAIC-based framework; multiple distributed security component; service level agreement; service quality; Cloud computing; Engines; Intrusion detection; Monitoring; Quality of service; Cloud Computing; SLA; complex event processing; security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on
  • Conference_Location
    Sao Carlos
  • Print_ISBN
    978-1-4673-4793-8
  • Type

    conf

  • DOI
    10.1109/CASoN.2012.6412410
  • Filename
    6412410