Abstract
Computer forensics is the preservation, analysis, and interpretation of computer data. Computer forensics is
dependent on the availability of software tools and applications. Such tools are critical components in law enforcement
investigations. Due to the diversity of cyber crime and cyber assisted crime, advanced software tools are essential
apparatus for typical law enforcement investigators, national security analysts, corporate emergency response teams,
civil lawyers, risk management personnel, etc.
Typical tools available to investigators are text-based, which are sorely inadequate given the volume of data needing
analysis in today’s environment. Many modern tools essentially provide simple GUIs to simplify access to typical textbased
commands but the capabilities are essentially the same. For simplicity we continue to refer to these as text-based
and command-based in constrast to the visualization tools and associated direct manipulation interfaces we are
attempting to develop. The reading of such large volumes of textual information is extremely time-consuming in
contrast with the interpretation of images through which the user can interpret large amounts of information
simultaneously. Forensic analysts have a growing need for new capabilities to aid in locating files holding evidence of
criminal activity. Such capabilities must improve both the efficiency of the analysis process and the identification of
additionally hidden files.
This paper discusses visualization research that more perceptually and intuitively represents file characteristics.
Additionally, we integrate interaction capabilities for more complete exploration, significantly improving analysis
efficiency. Finally, we discuss the results of an applied user study designed specifically to measure the efficacy of the
developed visualization capabilities in the analysis of computer forensic related data.
Recommended Citation
Forcht, Karen A A. and Hubbard, Joan C., "Using Visual Capabilities to Improve Efficiency in Computer Forensic Analysis" (2009). CONF-IRM 2009 Proceedings. 50.
https://aisel.aisnet.org/confirm2009/50