Hypothesis generation and testing in event profiling for digital forensic investigations

Batten, Lynn, Pan, Lei and Khan, Nisar 2012, Hypothesis generation and testing in event profiling for digital forensic investigations, International journal of digital crime and forensics, vol. 4, no. 4, pp. 1-14.

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Title Hypothesis generation and testing in event profiling for digital forensic investigations
Author(s) Batten, Lynn
Pan, Lei
Khan, Nisar
Journal name International journal of digital crime and forensics
Volume number 4
Issue number 4
Start page 1
End page 14
Total pages 14
Publisher IGI Global
Place of publication Hershey, Pa.
Publication date 2012
ISSN 1941-6229
1941-6210
Keyword(s) digital forensics
event profiling
evidence extraction
hypothesis generation
ranking
Summary 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.
Language eng
Field of Research 080403 Data Structures
Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051383

Document type: Journal Article
Collection: School of Information Technology
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