• DocumentCode
    2112098
  • Title

    The Research on Enhanced Cost-Based Auto Intrusion Response Decision

  • Author

    Sun Min ; Guo Yu

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Shanxi Univ., Taiyuan, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The problem in tradition´s intrusion response decision models is cost depends on experience, being in need of objectivity. The cost factor responds to the decision is less, causing the judgments not enough reasonable under the some condition. Response do not involve the choice of optimal strategy, the accuracy of judgment to respond or not is not enough high and lack of response adjustment. Aiming at this shortage, the author puts forward the analysis model EC-SM of the enhanced cost-based decision. This paper mainly gave two core contents of response decision: choice of optimal response strategy and respond to or not decision. The results of experiment show that the decision result of this model has a higher correctness.
  • Keywords
    decision support systems; security of data; socio-economic effects; support vector machines; cost-based auto intrusion; intrusion response decision; optimal response strategy; respond to-or-not decision; Asset management; Costs; Databases; Feedback; Information analysis; Information management; Information technology; Intrusion detection; Safety; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302494
  • Filename
    5302494