• DocumentCode
    604043
  • Title

    Engineering Intrusion Prevention Services for IaaS Clouds: The Way of the Hypervisor

  • Author

    Laniepce, Sylvie ; Lacoste, M. ; Kassi-Lahlou, M. ; Bignon, F. ; Lazri, Kahina ; Wailly, A.

  • Author_Institution
    Orange Labs., Cesson-Sévigné, France
  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    25
  • Lastpage
    36
  • Abstract
    Strong user expectations for protecting their cloud-hosted IT systems make enhanced security a key element for cloud adoption. This means that cloud infrastructure security should be guaranteed, but also that security monitoring services should be correctly designed to protect the user Virtual Machines (VMs), using Intrusion Detection and Prevention Services (IDPS). This paper gives an overview of available and emerging techniques for building intrusion monitoring services, analyzing their ability to address the VM protection requirements in a cloud context. While network- and host-based security monitoring are shown not to be well suited for the cloud, this paper makes a position statement, recommending a new monitoring approach, called hyper visor-based, as an alternative. This approach benefits from virtualization to monitor through the hyper visor, and from outside the user execution context, the security of computing, networking, and storage resources allocated to user VMs. Compared to traditional IDPS designs, hyper visor-based architectures are shown to be the most promising, greatly improving user VM security. This analysis also highlights the privileged role of the cloud provider to operate such type of IDPS, since it may perform integrated security monitoring as provider of both infrastructure and security services.
  • Keywords
    cloud computing; security of data; virtual machines; IaaS clouds; cloud adoption; cloud context; cloud hosted IT system; cloud infrastructure security; cloud provider; engineering intrusion prevention service; host based security monitoring; hypervisor; integrated security monitoring; intrusion detection; intrusion monitoring service; security monitoring service; strong user expectation; user execution context; user virtual machines security; Computer architecture; Context; Monitoring; Security; Software; Virtual machine monitors; Virtualization; Cloud Computing; Hypervisor; Intrusion Detection Services; Intrusion Prevention Services; VM Introspection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on
  • Conference_Location
    Redwood City
  • Print_ISBN
    978-1-4673-5659-6
  • Type

    conf

  • DOI
    10.1109/SOSE.2013.27
  • Filename
    6525501