Clique: Situational Awareness through Behavior
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Clique, a visual analytic environment for transactional data, uses statistical behavior models to highlight anomalies. By leveraging a behavioral algorithm, Clique can help data analysts gain awareness into large, time-varying, and streaming datasets such as network flow. Through behavioral- and anomaly-detection techniques, applications provide insight into the nature of activity through visual representations of typical and atypical patterns. Insight gained via behavior algorithms can then act as jump-off points into further investigation.
[1] Ryan Hafen,et al. Atypical behavior identification in large-scale network traffic , 2011, 2011 IEEE Symposium on Large Data Analysis and Visualization.
[2] Alex Endert,et al. 7 key challenges for visualization in cyber network defense , 2014, VizSEC.
[3] Jake D. Brutlag,et al. Aberrant Behavior Detection in Time Series for Network Monitoring , 2000, LISA.
[4] D. Kirsh. A Few Thoughts on Cognitive Overload , 2000 .