• DocumentCode
    1753512
  • Title

    Multi-level Intrusion Detection System and log management in Cloud Computing

  • Author

    Lee, Jun-Ho ; Park, Min-Woo ; Eom, Jung-Ho ; Chung, Tai-Myoung

  • Author_Institution
    Sch. of Inf. Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2011
  • fDate
    13-16 Feb. 2011
  • Firstpage
    552
  • Lastpage
    555
  • Abstract
    Cloud Computing is a new type of service which provides large scale computing resource to each customer. Cloud Computing systems can be easily threatened by various cyber attacks, because most of Cloud Computing systems provide services to so many people who are not proven to be trustworthy. Therefore, a Cloud Computing system needs to contain some Intrusion Detection Systems(IDSs) for protecting each Virtual Machine(VM) against threats. In this case, there exists a tradeoff between the security level of the IDS and the system performance. If the IDS provide stronger security service using more rules or patterns, then it needs much more computing resources in proportion to the strength of security. So the amount of resources allocating for customers decreases. Another problem in Cloud Computing is that, huge amount of logs makes system administrators hard to analyse them. In this paper, we propose a method that enables Cloud Computing system to achieve both effectiveness of using the system resource and strength of the security service without trade-off between them.
  • Keywords
    cloud computing; security of data; virtual machines; cloud computing; cyber attacks; log management; multilevel intrusion detection system; virtual machine; Cloud Computing; Cooperative IDS; IDS; Intrusion Detection; Multilevel IDS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2011 13th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4244-8830-8
  • Type

    conf

  • Filename
    5745874