• DocumentCode
    2406647
  • Title

    VAST 2009 Traffic Mini Challenge: Intuitive analytic information presentation

  • Author

    Agrawal, Sanjay ; Sravanthi, K. ; Vadapalli, S. ; Karlapalem, Kamalakar

  • Author_Institution
    Centre for Data Eng., Int. Inst. of Inf. Technol., Hyderabad, India
  • fYear
    2009
  • fDate
    12-13 Oct. 2009
  • Abstract
    As a solution to the VAST 2009 Traffic Mini Visualization Challenge, we built the Badge and Network Traffic (BNT) tool to create animations of the events taking place in the embassy. Using the embassy layout, the prox-card and web-access entries and their time-stamps, we animated color-based flagging of events. The BNT tool highlights logical anomalies occuring in the badge and network traffic data with color-coded alerts. Prior to the animated visualization, the tool analyzes data with respect to various aspects using (i) the amount of data transfers, (ii) destination IPs access patterns, (iii) employee´s browsing patterns and (iv) employee´s entry log into the restricted area. Any abnormality noticed is immediately reported to the user in the form of plots. In this presentation, we list out the various analyses performed and how they were utilized in the visualization. A few screenshots of the tool are provided to illustrate our analytic information presentation.
  • Keywords
    Internet; computer animation; data analysis; data visualisation; image colour analysis; telecommunication traffic; VAST 2009; Web-access entries; animated visualization; badge and network traffic tool; color-based flagging; color-coded alerts; intuitive analytic information presentation; traffic mini visualization challenge; Data analysis; Data engineering; Data visualization; Electronic mail; Information analysis; Information technology; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    978-1-4244-5283-5
  • Type

    conf

  • DOI
    10.1109/VAST.2009.5334301
  • Filename
    5334301