• DocumentCode
    869139
  • Title

    Visual correlation of network alerts

  • Author

    Foresti, Stefano ; Agutter, James ; Livnat, Yarden ; Moon, Shaun ; Erbacher, Robert

  • Author_Institution
    Utah Univ., Salt Lake City, UT, USA
  • Volume
    26
  • Issue
    2
  • fYear
    2006
  • Firstpage
    48
  • Lastpage
    59
  • Abstract
    The VisAlert visual correlation tool facilitates situational awareness in complex network environments by providing a holistic view of network security to help detect malicious activities. Information visualization techniques and methods in many applications have effectively increased operators´ situational awareness, letting them more effectively detect, diagnose, and treat anomalous conditions. Visualization elevates information comprehension by fostering rapid correlation and perceived associations. Our visualization technique integrates the information in log and alert files into an intuitive, flexible, extensible, and scalable visualization tool - VisAlert - that presents critical information concerning network activity in an integrated manner, increasing the user´s situational awareness.
  • Keywords
    data visualisation; security of data; telecommunication security; VisAlert visual correlation tool; alert files; complex network environment; information visualization techniques; log files; network security; situational awareness; Computer crime; Computer worms; Computerized monitoring; Data security; Data visualization; Decision making; Humans; Intrusion detection; Large-scale systems; Scalability; Cybersecurity; Data Correlation; Network Intrusion; Network Monitoring; Situational Awareness; User Centered Design; Visualization; Computer Communication Networks; Computer Graphics; Information Storage and Retrieval; Signal Processing, Computer-Assisted; Software; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2006.49
  • Filename
    1607921