• DocumentCode
    173035
  • Title

    CryptVMI: Encrypted Virtual Machine Introspection in the Cloud

  • Author

    Fangzhou Yao ; Campbell, Roy H.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    977
  • Lastpage
    978
  • Abstract
    Virtualization techniques are the key in both public and private cloud computing environments. In such environments, multiple virtual instances are running on the same physical machine. The logical isolation between systems makes security assurance weaker than physically isolated systems. Thus, Virtual Machine Introspection techniques become essential to prevent the virtual system from being vulnerable to attacks. However, this technique breaks down the borders of the segregation between multiple tenants, which should be avoided in a public cloud computing environment. In this paper, we focus on building an encrypted Virtual Machine Introspection system, CryptVMI, to address the above concern, especially in a public cloud system. Our approach maintains a query handler on the management node to handle encrypted queries from user clients. We pass the query to the corresponding compute node that holds the virtual instance queried. The introspection application deployed on the compute node processes the query and acquires the encrypted results from the virtual instance for the user. This work shows our design and preliminary implementation of this system.
  • Keywords
    cloud computing; cryptography; virtual machines; virtualisation; CryptVMI; encrypted virtual machine introspection system; introspection application; logical isolation; private cloud computing environments; public cloud computing environment; public cloud system; query handler; security assurance; virtual instances; virtualization techniques; Cloud computing; Conferences; Cryptography; Libraries; Virtual machining; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5062-1
  • Type

    conf

  • DOI
    10.1109/CLOUD.2014.149
  • Filename
    6973855