• DocumentCode
    508957
  • Title

    A Novel IDS Model Based on a Bayesian Fusion Approach

  • Author

    Xu Ye ; Zhang Wen-bo

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    546
  • Lastpage
    549
  • Abstract
    A novel IDS model based on Bayesian fusion approach is studied in this paper. The model comprises several parts such as the pixel level fusion, feature level fusion, decision-making level fusion and so on. Experiments show that the model could result in a better recognition of attacks through processing procedures including noise reduction, feature extraction, inference and decision-making.
  • Keywords
    Bayes methods; decision making; feature extraction; image fusion; security of data; Bayesian fusion approach; IDS model; decision-making level fusion; feature extraction; feature level fusion; noise reduction; pixel level fusion; Bayesian methods; Computer networks; Computer security; Costs; Data analysis; Data privacy; Data security; Decision making; Intrusion detection; Statistics; Bayesian networks; IDS; Information fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.300
  • Filename
    5368764
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=508957