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Enhancing Visual Analysis of Network Traffic Using a Knowledge Representation

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3 Author(s)
Ling Xiao ; Stanford Univ., Palo Alto, CA ; Gerth, J. ; Hanrahan, P.

This paper presents a network traffic analysis system that couples visual analysis with a declarative knowledge representation. The system supports multiple iterations of the sense-making loop of analytic reasoning by allowing users to save discoveries as they are found and to reuse them in future iterations. We show how the knowledge representation can be used to improve both the visual representations and the basic analytical tasks of filtering and changing level of detail. We describe how the system can be used to produce models of network patterns, and show results from classifying one day of network traffic in our laboratory

Published in:

Visual Analytics Science And Technology, 2006 IEEE Symposium On

Date of Conference:

Oct. 31 2006-Nov. 2 2006