Fischer, Fabian ; Davey, James ; Fuchs, Johannes ; Thonnard, Olivier ; Kohlhammer, Jörn ; Keim, Daniel A. (2014)
A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications.
EuroVA 2014.
doi: 10.2312/eurova.20141144
Conference or Workshop Item, Bibliographie
Abstract
The analysis and exploration of emerging threats in the Internet is important to better understand the behaviour of attackers and develop new methods to enhance cyber security. Fully automated algorithms alone are often not capable of providing actionable insights about the threat landscape. We therefore combine a multi-criteria clustering algorithm, tailor-made for the identification of such attack campaigns with three interactive visualizations, namely treemap representations, interactive node-link diagrams, and chord diagrams, to allow the analysts to visually explore and make sense of the resulting multi-dimensional clusters. To demonstrate the potential of the system, we share our lessons learned in conducting a field experiment with experts in a security response team and show how it helped them to gain new insights into various threat landscapes.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2014 |
| Creators: | Fischer, Fabian ; Davey, James ; Fuchs, Johannes ; Thonnard, Olivier ; Kohlhammer, Jörn ; Keim, Daniel A. |
| Type of entry: | Bibliographie |
| Title: | A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications |
| Language: | English |
| Date: | 2014 |
| Publisher: | Eurographics Association, Goslar |
| Event Title: | EuroVA 2014 |
| DOI: | 10.2312/eurova.20141144 |
| Abstract: | The analysis and exploration of emerging threats in the Internet is important to better understand the behaviour of attackers and develop new methods to enhance cyber security. Fully automated algorithms alone are often not capable of providing actionable insights about the threat landscape. We therefore combine a multi-criteria clustering algorithm, tailor-made for the identification of such attack campaigns with three interactive visualizations, namely treemap representations, interactive node-link diagrams, and chord diagrams, to allow the analysts to visually explore and make sense of the resulting multi-dimensional clusters. To demonstrate the potential of the system, we share our lessons learned in conducting a field experiment with experts in a security response team and show how it helped them to gain new insights into various threat landscapes. |
| Uncontrolled Keywords: | Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Network security, Clustering, Evaluation, Visual analytics, Information visualization |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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