Visualisation of Honeypot Data Using Graphviz and Afterglow | Zendy

Craig Valli | Zendy

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Visualisation of Honeypot Data Using Graphviz and Afterglow

Author(s) -

Craig Valli

Publication year - 2009

Publication title -

the journal of digital forensics, security and law

Language(s) - English

Resource type - Journals

eISSN - 1558-7223

pISSN - 1558-7215

DOI - 10.15394/jdfsl.2009.1056

Subject(s) - honeypot , scripting language , afterglow , computer science , data visualization , visualization , database , operating system , computer security , data mining , physics , astrophysics , gamma ray burst

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.

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