BANKSAFE: Visual analytics for big data in large-scale computer networks. (January 2015)

• Record Type: Journal Article
• Authors: Fischer, Fabian; Fuchs, Johannes; Mansmann, Florian; Keim, Daniel A
• Other Names: Cook Kristin guest-editor.; Grinstein Georges guest-editor.; Whiting Mark guest-editor.
• Is Part Of: Information visualization. Volume 14:Number 1(2015:Jan.)
• Page Start: 51
• Page End: 61
• Publication Date: 2015-01
• Subjects: Visual analytics -- big data -- vast challenge -- computer networks -- security visualization; Information visualization -- Periodicals; 006.605
• DOI: 10.1177/1473871613488572
• Languages: English
• ISSNs: 1473-8716

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.