Ocelot: user-centered design of a decision support visualization for network quarantine
2015 IEEE Symposium on Visualization for Cyber Security (VizSec)(2015)
摘要
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.
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关键词
Ocelot,user-centered design,decision support visualization,network quarantine,cybersecurity,network intrusion detection,anomalies,decision support systems,active network defense,Web-based functional visualization prototype,hybrid space partitioning tree,node link diagram
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