Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations

  • Authors:

  • Lynn Batten;Lei Pan;Nisar Khan

  • Affiliations:

  • Faculty of Science and Technology, School of IT, Deakin University, Burwood, Melbourne, VIC, Australia;Faculty of Science and Technology, School of IT, Deakin University, Burwood, Melbourne, VIC, Australia;Faculty of Science and Technology, School of IT, Deakin University, Burwood, Melbourne, VIC, Australia

  • Venue:
  • International Journal of Digital Crime and Forensics
  • Year:
  • 2012

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Abstract

The need for an automated approach to forensic digital investigation has been recognized for some years, and several authors have developed frameworks in this direction. The aim of this paper is to assist the forensic investigator with the generation and testing of hypotheses in the analysis phase. In doing so, the authors present a new architecture which facilitates the move to automation of the investigative process; this new architecture draws together several important components of the literature on question and answer methodologies including the concept of 'pivot' word and sentence ranking. Their architecture is supported by a detailed case study demonstrating its practicality.