• DocumentCode
    2034963
  • Title

    Based on Data Fusion Multi- Data Sources Intrusion Detection Model

  • Author

    Li Min ; Wang DongLliang ; Wangjie ; Sunxuhua

  • Author_Institution
    Network Center, Beijing Univ. of Civil Eng. & Archit., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper, aiming at the characteristics of intrusion detection methods´ limitations and the low detection accuracy, we analyze the course of intrusion and classify the detection data sources, and then establish a common intrusion detection model based on data fusion of multi-data sources. Through analyze each part´s function of the intrusion detection model, summarizes its characteristics, using multiple detection methods and data integration technology, in theory to achieve the feasibility. In the end we bring up the future research direction.
  • Keywords
    pattern classification; security of data; sensor fusion; data classification; data fusion; data integration technology; multidata source intrusion detection model; Civil engineering; Computer hacking; Data analysis; Decision making; File systems; Information analysis; Information security; Intrusion detection; Keyboards; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072765
  • Filename
    5072765