DocumentCode :
3681547
Title :
Ocelot: user-centered design of a decision support visualization for network quarantine
Author :
Dustin L. Arendt;Russ Burtner;Daniel M. Best;Nathan D. Bos;John R. Gersh;Christine D. Piatko;Celeste Lyn Paul
Author_Institution :
Pacific Northwest National Laboratory
fYear :
2015
Firstpage :
1
Lastpage :
8
Abstract :
Most cyber security research is focused on detecting network intrusions or anomalies through the use of automated methods, exploratory visual analytics systems, or real-time monitoring using dynamic visual representations. However, there has been minimal investigation of effective decision support systems for cyber analysts. This paper describes the user-centered design and development of a decision support visualization for active network defense. Ocelot helps the cyber analyst assess threats to a network and quarantine affected computers from the healthy parts of a network. The described web-based, functional visualization prototype integrates and visualizes multiple data sources through the use of a hybrid space partitioning tree and node link diagram. We describe our design process for requirements gathering and design feedback which included expert interviews, iterative design, and a user study.
Keywords :
"Visualization","Computer security","Layout","Context","User centered design","Real-time systems","Data visualization"
Publisher :
ieee
Conference_Titel :
Visualization for Cyber Security (VizSec), 2015 IEEE Symposium on
Type :
conf
DOI :
10.1109/VIZSEC.2015.7312763
Filename :
7312763
Link To Document :
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