• DocumentCode
    2967195
  • Title

    The Analysis of Event Correlation in Security Operations Center

  • Author

    Zhang, Deyang ; Zhang, Dedong

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    1214
  • Lastpage
    1216
  • Abstract
    Many security events occur in computer networks and most of them are not isolated. In other words, there are many relationships among the events that are called redundancy relationship or causality. As the events are massive, correlation analysis is very important. This paper analyzes the current algorithm of event correlation and proposes a security events correlation method. This method unifies the security events from different security equipments and sorts them firstly, then combines the security events by the similarity, finally extracts correlation rules among security events utilizing data mining. It can decrease the number of alert, reduce false alert and discover high-level attack strategies.
  • Keywords
    computer network security; data mining; computer networks; data mining; event correlation analysis; high-level attack strategies; redundancy causality; redundancy relationship; security events correlation method; security operations center; Computer architecture; Correlation; Data mining; IP networks; Intrusion detection; Redundancy; Correlation Analysis; Correlation Rules; Security Operations Center; Similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.584
  • Filename
    5751113