• DocumentCode
    3438261
  • Title

    Autonomous agent based intrusion detection in virtual computing environment

  • Author

    Ohoussou, Alex K. ; Jin, Hai ; Zou, Deqing ; Zhao, Feng ; Xiang, Guofu ; Cheng, Ge

  • Author_Institution
    Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    682
  • Lastpage
    686
  • Abstract
    One of the motivations for virtualization technology is the desire to develop new services to enhance system security without trusting both the applications and the operating systems. An intrusion detection system is an example of such service that can help to isolate users from malicious attacks. In this paper, we propose hybrid-based intrusion detection architecture in virtual computing environment to detect and isolate harmful behaviors by real-time monitoring and alarming. In contrast to monolithic intrusion detection system, we introduce autonomous agents, acting independently of each other, to monitor the system. The agents are deployed in virtual machines to analyze actions occurring on the network and inside the hosts to determine whether they are potential security violations or not. Our architecture is implemented based on Xen, and the detection management center is deployed in a secure virtual machine.
  • Keywords
    Autonomous agents; Correlators; Hardware; Intrusion detection; Isolation technology; Network servers; Operating systems; Protection; Virtual machining; Virtual manufacturing; autonomous agent; intrusion detection; virtual computing environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4244-5850-9
  • Type

    conf

  • DOI
    10.1109/WCINS.2010.5541866
  • Filename
    5541866