Name
Abstract | ||
|---|---|---|
Extensive spread of malicious code on the Internet and also within intranets has risen the user's concern about what kind of data is transferred between her or his computer and other hosts on the network. Visual analysis of this kind of information is a challenging task. due to the complexity and volume of the data type considered, and requires special design of appropriate visualization techniques. In this paper, we present a scalable visualization toolkit for analyzing network activity of computer hosts on a network. The Visualization combines network packet volume and type distribution information with geographic information, enabling the analyst to use Geographic distortion techniques such as the HistoMap technique to become aware of the traffic components in the course of the analysis. The presented analysis tool is especially useful to compare important network load characteristics in a geographically aware display. to relate communication partners, and to identify the type of network traffic occurring. The results of the analysis are helpful in understanding typical network communication activities, and in anticipating potential performance bottlenecks or problems. It is suited for both off-line analysis of historic data, and via animation for on-line monitoring of packet-based network traffic in real time. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/VAST.2006.261438 | IEEE VAST |
Keywords | Field | DocType |
Internet,computer animation,data visualisation,intranets,telecommunication traffic,HistoMap technique,Internet,geographic distortion technique,information visualization,intranet,network packet volume,network traffic monitoring,network type distribution information,radial traffic analyzer,scalable visualization toolkit,Geography-based Solutions,Information Visualization,Network Traffic Monitoring,Visual Analytics | Traffic generation model,Data mining,Packet analyzer,Computer science,Network simulation,Network architecture,Computer network,Network traffic control,Network traffic simulation,Network management station,Intelligent computer network | Conference |
ISSN | Citations | PageRank |
2325-9442 | 13 | 0.80 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel A. Keim | 1 | 7704 | 1141.60 |
| Florian Mansmann | 2 | 589 | 35.91 |
| Jörn Schneidewind | 3 | 148 | 13.89 |
| Tobias Schreck | 4 | 1854 | 123.28 |