Visualisation of Honeypot Data Using Graphviz and Afterglow

Craig Valli
secau – Security Research Centre
Edith Cowan University
c.valli@ecu.edu.au
 

ABSTRACT

This research in progress paper explores the use of Graphviz and Afterglow for the analysis of data emanating from a honeypot system. Honeypot systems gather a wide range of data that is often difficult to readily search for patterns and trends using conventional log file analysis techniques. The data from the honeypots has been statically extracted and processed through Afterglow scripts to produce inputs suitable for use by the DOT graph based tools contained within Graphviz. This paper explores some of the benefits and drawbacks of currently using this type of approach.

Keywords: honeypot, network forensics, visualization, Graphviz, Afterglow.