• DocumentCode
    1844524
  • Title

    Situation Mining Analysis Based on Security Information

  • Author

    Guoqin Song ; Lu Kai ; Jianqiong Xiao

  • Author_Institution
    Dept. of Exp. Center, China West Normal Univ., Nanchong, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    791
  • Lastpage
    794
  • Abstract
    This paper constructs a multilayer and dimensionality network security data set, and a hierarchical assessment process which is made up of atomic situation, host situation and network situation is established. Then the theory of self-information entropy is adopted to compute the occurring probability of atomic situation, using the method of weighted summation to analyze the situation of every layer. At last, the proposed assessment model and process are tested by the real network environment data.
  • Keywords
    data mining; entropy; probability; security of data; atomic situation probability; dimensionality network security data set; hierarchical assessment process; host situation; multilayer network security data set; network situation; security information; self-information entropy; situation mining analysis; weighted summation method; Atomic clocks; Availability; Data mining; Data models; Educational institutions; Security; Servers; atomic situation; data analysis; security information; security situation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.212
  • Filename
    6643128