Title :
HintVis: The Hierarchical Visualization of Network Traffic Data
Author :
Hengyuan Zhang ; Xiaowu Chen ; Haifeng Hu
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
Abstract :
The network traffic data is interpreted differently by people in different sectors. This paper proposes a framework for hierarchically visualizing the network traffic data, and customizes a set of the classic approaches or algorithms to produce visualizations in different levels. Based on the framework, we developed a prototype system Hint Vis to support analyzing network traffic data in different levels by constructing layered semantic network traffic objects and producing hierarchical visualizations. The usability of Hint Vis is demonstrated by visualizing packets going through the gateway in a LAN. Depending on the hierarchical visualizations, analysts are able to semantically navigate in the network traffic data and concentrate on what they need.
Keywords :
data analysis; data visualisation; internetworking; local area networks; telecommunication traffic; HintVis; LAN; gateway; hierarchical visualization; layered semantic network traffic objects; network traffic data analysis; packet visualization; Data visualization; Heating; IP networks; Local area networks; Ports (Computers); Protocols; Visualization; Hierarchical Visualization; Network Traffic; User Interface;
Conference_Titel :
Virtual Reality and Visualization (ICVRV), 2013 International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/ICVRV.2013.33