Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Graph drawing by force-directed placement
Software—Practice & Experience
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
An Eye on Network Intruder-Administrator Shootouts
Proceedings of the Workshop on Intrusion Detection and Network Monitoring
A blueprint for introducing disruptive technology into the Internet
ACM SIGCOMM Computer Communication Review
Home-centric visualization of network traffic for security administration
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
A Visual Approach for Monitoring Logs
LISA '98 Proceedings of the 12th USENIX conference on System administration
prefuse: a toolkit for interactive information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Visual Exploration Process for the Analysis of Internet Routing Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Root Polar Layout of Internet Address Data for Security Administration
VIZSEC '05 Proceedings of the IEEE Workshops on Visualization for Computer Security
Network Visualization by Semantic Substrates
IEEE Transactions on Visualization and Computer Graphics
Mapping and visualizing the internet
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
MalwareVis: entity-based visualization of malware network traces
Proceedings of the Ninth International Symposium on Visualization for Cyber Security
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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.