Title
A Tri-Linear Visualization For Network Anomaly Detection
Abstract
This research discusses a novel application of ternary plots to the visualization of network traffic data. These plots prove to be enormously effective at identifying anomalous network activity and can be valuable in monitoring network activity much more efficiently than can be done with existing techniques. The visualization was implemented in our existing visualization infrastructure to reduce development time. Testing was performed on actual network traffic data collected from a local network. Multiple anomalies were easily identifiable within the data set without any prior knowledge as to the contents of the test file. This paper discusses the ternary plot and its application to network traffic data, the formulas needed to calculate and display ternary coordinates, and the basic architecture for the visualization implementation.
Year
DOI
Venue
2011
10.1117/12.872697
VISUALIZATION AND DATA ANALYSIS 2011
Keywords
DocType
Volume
Security visualization, anomaly detection, ternary plot
Conference
7868
ISSN
Citations 
PageRank 
0277-786X
1
0.37
References 
Authors
0
2
Name
Order
Citations
PageRank
robert b whitaker110.37
Robert F. Erbacher220227.65