• DocumentCode
    2796380
  • Title

    BANKSAFE: A visual situational awareness tool for large-scale computer networks: VAST 2012 challenge award: Outstanding comprehensive submission, including multiple vizes

  • Author

    Fischer, Fabian ; Fuchs, Johannes ; Mansmann, Florian ; Keim, Daniel A.

  • Author_Institution
    University of Konstanz, Germany
  • fYear
    2012
  • fDate
    14-19 Oct. 2012
  • Firstpage
    257
  • Lastpage
    258
  • Abstract
    With the reliance of businesses, public institutions and individuals on large computer networks, maintaining their security becomes essential to ensure integrity. To achieve situational awareness, we developed Banksafe, which is a scalable, distributed and web-based visualization system to analyze health monitoring data and security datasets. To handle large amounts of data a cloud-based backend database is used to store and analyze the raw data. To evaluate the effectiveness of our approach we use both VAST 2012 mini challenges. Our case studies successfully identify suspicious events, trends and patterns using multiple visualizations.
  • Keywords
    C.2.0 [Computer-Communication Networks]: General — [Security and protection]; H.5.2 [Information Interfaces and Presentation]: User Interfaces —; I.3.8 [Computer Graphics]: Application —;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4673-4752-5
  • Type

    conf

  • DOI
    10.1109/VAST.2012.6400528
  • Filename
    6400528