• DocumentCode
    2286845
  • Title

    Mining event logs with SLCT and LogHound

  • Author

    Vaarandi, Risto

  • Author_Institution
    Cooperative Cyber Defence Centre of Excellence, Tallinn
  • fYear
    2008
  • fDate
    7-11 April 2008
  • Firstpage
    1071
  • Lastpage
    1074
  • Abstract
    With the growth of communication networks, event logs are increasing in size at a fast rate. Today, it is not uncommon to have systems that generate tens of gigabytes of log data per day. Log data are likely to contain information that deserves closer attention - such as security events - but the task of reviewing logs manually is beyond the capabilities of a human. This paper discusses data mining tools SLCT and log hound that were designed for assisting system management personnel in extracting knowledge from event logs.
  • Keywords
    data mining; security of data; telecommunication computing; LogHound; communication networks; event log analysis; event logs mining; log data; security events; system management personnel; Algorithm design and analysis; Clustering algorithms; Communication networks; Communication system security; Data analysis; Data mining; Data security; Event detection; Monitoring; Personnel; data mining; data security; event log analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
  • Conference_Location
    Salvador, Bahia
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4244-2065-0
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2008.4575281
  • Filename
    4575281