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BANKSAFE: Visual analytics for big data in large-scale computer networks

Fischer, Fabian et al.

Information visualization. Volume 14:Number 1 (2015, January); pp 51-61 -- Sage

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  • Title:
    BANKSAFE: Visual analytics for big data in large-scale computer networks
  • Author: Fischer, Fabian;
    Fuchs, Johannes;
    Mansmann, Florian;
    Keim, Daniel A;
    Cook, Kristin;
    Grinstein, Georges;
    Whiting, Mark
  • Found In: Information visualization. Volume 14:Number 1 (2015, January); pp 51-61
  • Journal Title: Information visualization
  • Subjects: Information visualization--Periodicals; Visual analytics--big data--vast challenge--computer networks--security visualization; Dewey: 006.605
  • Rights: legaldeposit
  • Publication Details: Sage
  • Abstract:

    The enormous growth of data in the last decades led to a wide variety of different database technologies. Nowadays, we are capable of storing vast amounts of structured and unstructured data. To address the challenge of exploring and making sense out of big data using visual analytics, the tight integration of such backend services is needed. In this article, we introduce BANKSAFE, which was built for the VAST Challenge 2012 and won the outstanding comprehensive submission award. BANKSAFE is based on modern database technologies and is capable of visually analyzing vast amounts of monitoring data and security-related datasets of large-scale computer networks. To better describe and demonstrate the visualizations, we utilize the Visual Analytics Science and Technology (VAST) Challenge 2012 as case study. Additionally, we discuss lessons learned during the design and development of BANKSAFE, which are also applicable to other visual analytics applications for big data.


  • Identifier: System Number: LDEAvdc_100065217934.0x000001; Journal ISSN: 1473-8716; 10.1177/1473871613488572
  • Publication Date: 2015
  • Physical Description: Electronic
  • Shelfmark(s): ELD Digital store

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