• DocumentCode
    1926214
  • Title

    Research on data mining technologies appling intrusion detection

  • Author

    Qun, Zhang ; Wen-jie, Huang

  • Author_Institution
    Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    8-10 Aug. 2010
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    Aim of the intrusion detection is to availably detect the intrusion from large stores of data. IDS (Intrusion Detection System) analyses sorts of data resource with data mining techniques to extract useful patterns and rules that could be used to guide the IDS to analyse intrusion. Allowing for characteristics of intrusion detection, a novel approach of mining frequent serial episodes from streams of time series, called TFSE, is proposed. TFSE (Time-table-joined Frequent Serial Episodes) is applied to analyse large stores of data related with time.
  • Keywords
    data mining; security of data; time series; IDS analysis; TFSE; data mining techniques; data resource; intrusion detection system; time series; time-table-joined frequent serial episode mining; Barium; Genetics; TFSE; data mining; intrusion detection; time serial pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6064-9
  • Type

    conf

  • DOI
    10.1109/ICEMMS.2010.5563461
  • Filename
    5563461