J. Edward Swan II

A Visual Analytic Framework for Exploring Relationships in Textual Contents of Digital Forensics Evidence

T.J. Jankun-Kelly, David Wilson, Andrew S. Stamps, Josh Franck, Jeffery Carver, and J. Edward Swan II. A Visual Analytic Framework for Exploring Relationships in Textual Contents of Digital Forensics Evidence. In Proceedings of Workshop on Visualization for Cyber Security (VizSec 2009), pp. 39–44, October 2009.

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Abstract

We describe the development of a set of tools for analyzing the textual contents of digital forensic evidence for the purpose of enhancing an investigator's ability to discover information quickly and efficiently. By examining the textual contents of files and unallocated space, relationships between sets of files and clusters can be formed based on the information that they contain. Using the information gathered from the evidence through the analysis tool, the visualization tool can be used to search through the evidence in an organized and efficient manner. The visualization depicts both the frequency of relevant terms and their location on disk. We also discuss a task analysis with forensics officers to motivate the design.

Additional Information

Acceptance rate: 43% (10 out of 23)

BibTeX

@InProceedings{VIZSEC09-ertc, 
  author =      {T.J. Jankun-Kelly and David Wilson and Andrew S. Stamps and 
                 Josh Franck and Jeffery Carver and J. Edward {Swan~II}}, 
  title =       {A Visual Analytic Framework for Exploring Relationships in 
                 Textual Contents of Digital Forensics  Evidence}, 
  booktitle =   {Proceedings of Workshop on Visualization for 
                 Cyber Security (VizSec 2009)}, 
  date =        {October 11}, 
  month =       {October}, 
  year =        2009, 
  pages =       {39--44}, 
  abstract =    { 
We describe the development of a set of tools for analyzing the 
textual contents of digital forensic evidence for the purpose of 
enhancing an investigator's ability to discover information quickly 
and efficiently.  By examining the textual contents of files and 
unallocated space, relationships between sets of files and clusters 
can be formed based on the information that they contain.  Using the 
information gathered from the evidence through the analysis tool, the 
visualization tool can be used to search through the evidence in an 
organized and efficient manner.  The visualization depicts both the 
frequency of relevant terms and their location on disk. We also 
discuss a task analysis with forensics officers to motivate the 
design. 
}, 
}