• DocumentCode
    3169906
  • Title

    VNIDA: Building an IDS Architecture Using VMM-Based Non-Intrusive Approach

  • Author

    Zhang, Xiantao ; Li, Qi ; Qing, Sihan ; Zhang, Huanguo

  • Author_Institution
    Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    23-24 Jan. 2008
  • Firstpage
    594
  • Lastpage
    600
  • Abstract
    Intrusion detection system (IDS) has been introduced and broadly applied to prevent unauthorized access to system resource and data for several years. However, many problems are still not well resolved in most of IDS, such as detection evasion, intrusion containment. In order to resolve these problems, we propose a novel flexible architecture VNIDA which is based on virtual machine monitor (VMM) and has no-intrusive behavior to target system after studying popular IDS architectures. In this architecture, a separate intrusion detection domain (IDD) is added to provide intrusion detection services for all virtual machines. Specially, an IDD helper is introduced to take response to the intrusions according to the security policies. Moreover, event sensors and IDS stub, as the core components of IDS, are separately isolated from target systems, so strong reliability is also achieved in this architecture. To show the feasibility of the VNIDA, we implement a prototype based on the proposed architecture. Based on the prototype, we employed some rootkits to evaluate our VNIDA, and the results shows that VNIDA has the ability to detect them efficiently, even some potential intrusions. In addition, system performance evaluation also shows that VNIDA only introduce less than 1.25% extra overhead.
  • Keywords
    authorisation; software architecture; virtual machines; detection evasion; intrusion containment; intrusion detection domain; intrusion detection system; security policies; system resource; unauthorized access prevention; virtual machine monitor; Buildings; Computer architecture; Computer science; Data mining; Data security; Intrusion detection; Monitoring; Open source software; Prototypes; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-0-7695-3090-1
  • Type

    conf

  • DOI
    10.1109/WKDD.2008.135
  • Filename
    4470467