Name
Abstract | ||
|---|---|---|
We present NetGrok, a tool for visualizing computer network usage in real-time. NetGrok combines well-known information visualization techniques--overview, zoom & filter, details on demand--with network graph and treemap visualizations. NetGrok integrates these tools with a shared data store that can read PCAP-formatted network traces, capture traces from a live interface, and filter the data set dynamically by bandwidth, number of connections, and time. We performed an expert user case study that demonstrates the benefits of applying these techniques to static and real-time streaming packet data. Our user study shows NetGrok serves as an "excellent real-time diagnostic," enabling fast understanding of network resource usage and rapid anomaly detection. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85933-8_12 | VizSEC |
Keywords | Field | DocType |
network resource usage,pcap-formatted network trace,shared data store,visualizing real-time network resource,user study,visualizing computer network usage,network graph,live interface,fast understanding,expert user case study,packet data,real time,functional requirement,treemap,network monitoring,network visualization,computer network | Anomaly detection,Data mining,Information visualization,Computer science,Network packet,Network simulation,Zoom,Network architecture,Real-time computing,Computer network programming,Intelligent computer network | Conference |
Volume | ISSN | Citations |
5210 | 0302-9743 | 10 |
PageRank | References | Authors |
0.70 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryan Blue | 1 | 10 | 0.70 |
| Cody Dunne | 2 | 437 | 27.88 |
| Adam Fuchs | 3 | 95 | 4.34 |
| Kyle King | 4 | 22 | 2.17 |
| Aaron Schulman | 5 | 289 | 22.45 |