The Association of Digital Forensics, Security and Law (ADFSL)
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.
ASTRA. (2008). "Belgian researchers develop desktop supercomputer.", from http://fastra.ua.ac.be/en/index.html.
Baecher, P., M. Koetter, et al. (2009). "nepenthes." from http://nepenthes.carnivore.it/.
Ellson, J. and E. Gansner (2008). Graphviz - Graph Visualization Software, AT&T.
Marty, R. (2007). "Afterglow." from http://afterglow.sourceforge.net.
Microsoft. (2003). "Microsoft Security Bulletin MS03-026 - Buffer Overrun In RPC Interface Could Allow Code Execution (823980)." Retrieved 6th Feb, 2006, from http://www.microsoft.com/technet/security/bulletin/MS03-026.mspx.
"Visualisation of Honeypot Data Using Graphviz and Afterglow,"
Journal of Digital Forensics, Security and Law: Vol. 4
, Article 2.
Available at: http://commons.erau.edu/jdfsl/vol4/iss2/2