• DocumentCode
    3050512
  • Title

    Exploiting the x86 Architecture to Derive Virtual Machine State Information

  • Author

    Pfoh, Jonas ; Schneider, Christian ; Eckert, Claudia

  • Author_Institution
    Dept. of Comput. Sci., Univ. Munchen, Munich, Germany
  • fYear
    2010
  • fDate
    18-25 July 2010
  • Firstpage
    166
  • Lastpage
    175
  • Abstract
    Virtual machine introspection (VMI) describes the method of monitoring and analyzing the state of a virtual machine from the hypervisor level. Using knowledge of the virtual hardware architecture, it is possible to derive information about a guest operating system´s state from the virtual machine state. We argue that by deriving this information it is possible to build VMI applications which are more robust against circumvention techniques than applications that do not rely on hardware knowledge. In this paper, we present various ways to leverage Intel´s x86 architecture as well as the virtualization extensions from both Intel (VT-x) and AMD (SVM) to derive such information. Additionally, we describe how this derived information may be used in VMI-based security applications and against which threats they are most applicable.
  • Keywords
    computer architecture; operating systems (computers); virtual machines; Intel x86 architecture; VMI based security application; guest operating system; hypervisor level; virtual hardware architecture; virtual machine introspection; virtual machine state information; virtualization extensions; Hardware; Kernel; Monitoring; Registers; Semantics; Virtual machine monitors; Virtual machining; Anti-malware; Introspection; Intrusion Detection; Security; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Security Information Systems and Technologies (SECURWARE), 2010 Fourth International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4244-7517-9
  • Electronic_ISBN
    978-0-7695-4095-5
  • Type

    conf

  • DOI
    10.1109/SECURWARE.2010.35
  • Filename
    5633680