• DocumentCode
    579904
  • Title

    VisSRA: Visualizing Snort Rules and Alerts

  • Author

    Hong, Xiaojin ; Hu, Changzhen ; Wang, Zhigang ; Wang, Guoqiang ; Wan, Ying

  • Author_Institution
    Lab. of Comput. Network Defense Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    3-5 Nov. 2012
  • Firstpage
    441
  • Lastpage
    444
  • Abstract
    Snort is a rule-based intrusion detection system, applying defined rules to inspect suspicious packets in network. An alert will be generated if an alert rule is triggered. Analysis of the relation between rules and alerts can help network administrators to analyze alerts easily so as to identify network attacks. The aim of this work is to develop a visualization tool that can be used to view the rules and alerts in visualization. The proposed visualization tool, which is called VisSRA, also can be used to find the relation between rules and alerts, view the number of alerts triggered by a rule and check the alerts quickly. Tree maps were used to visualize rules Snort contains and alerts Snort generates which are shown as cells with different colors. The system uses the graphical and statistical manners to allow even novices to get an overview of network state. In this paper, an experiment was given to show the proposed approach could bring some convenience of browsing and analyzing network anomalies to administrators.
  • Keywords
    computer network security; data visualisation; knowledge based systems; statistical analysis; trees (mathematics); Snort alert visualization; Snort rule visualization; VisSRA; alert analysis; alert checking; alert rule; graphical manner; network administration; network anomaly analysis; network anomaly browsing; network attack identification; network state overview; network suspicious packet inspection; rule-based intrusion detection system; statistical manner; tree map; visualization tool; Color; Data visualization; Intrusion detection; Layout; Visualization; Snort; alert; rule; treemap;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
  • Conference_Location
    Mathura
  • Print_ISBN
    978-1-4673-2981-1
  • Type

    conf

  • DOI
    10.1109/CICN.2012.207
  • Filename
    6375151