• DocumentCode
    1909472
  • Title

    3D-IDS: IaaS User-oriented Intrusion Detection System

  • Author

    Jie He ; Chuan Tang ; Yuexiang Yang ; Yong Qiao ; Chaobin Liu

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    12
  • Lastpage
    15
  • Abstract
    Being the core technology of IaaS (Infrastructure as a Service) cloud computing data center, server virtualization can virtualize servers with surplus resources to multiple virtual machines with diverse configurations according to users´ demands. This can significantly improve the utilization of computing resources. Traditional intrusion detection techniques are no longer suitable for security detection of IaaS cloud computing data centers any more due to the specificity of IaaS architecture. Furthermore, most current intrusion detection systems (IDS) for cloud environment are provider-oriented. It´s hard for IaaS users to obtain the statuses of virtual machines rented by them. In this paper, we designed a three-dimensional intrusion detection system (3D-IDS). Through a distributed collection of information on virtual machines, such as system logs, host behaviors and network behaviors, our system can synthesize related information to supply detailed security statuses of each virtual machine for IaaS users.
  • Keywords
    cloud computing; security of data; virtual machines; virtualisation; 3D-IDS system; IaaS user-oriented intrusion detection system; cloud computing data center; computing resource utilization; host behavior; information collection; infrastructure-as-service; network behavior; security detection; server virtualization; virtual machines; Cloud Computing; IaaS; Intrusion Detection; Virtualization Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2012 International Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2160-1283
  • Print_ISBN
    978-1-4673-5680-0
  • Type

    conf

  • DOI
    10.1109/ISISE.2012.12
  • Filename
    6495288