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

被引：10

作者：

Fischer, Fabian ^{[1
]}

Fuchs, Johannes ^{[1
]}

Mansmann, Florian ^{[1
]}

Keim, Daniel A. ^{[1
]}

机构：

[1] Univ Konstanz, Data Anal & Visualizat Grp, D-78457 Constance, Germany

来源：

INFORMATION VISUALIZATION | 2015年 / 14卷 / 01期

关键词：

Visual analytics; big data; vast challenge; computer networks; security visualization;

D O I：

10.1177/1473871613488572

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：51 / 61

页数：11

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