HintVis: The Hierarchical Visualization of Network Traffic Data

Hengyuan Zhang, Xiaowu Chen, Haifeng Hu
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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.
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HintVis:网络流量数据的分层可视化
不同部门的人对网络流量数据有不同的解释。本文提出了一种网络流量数据分层可视化的框架,并自定义了一套经典的方法或算法来实现不同层次的可视化。基于该框架,我们开发了一个原型系统Hint Vis,通过构建分层语义网络流量对象和生成分层可视化,支持对不同层次的网络流量数据进行分析。通过可视化LAN中通过网关的数据包来演示Hint Vis的可用性。根据分层可视化,分析人员能够在网络流量数据中进行语义导航,并专注于他们需要的内容。
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