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Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations

Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations

Lynn Batten, Lei Pan, Nisar Khan
Copyright: © 2013 |Pages: 14
ISBN13: 9781466640061|ISBN10: 1466640065|EISBN13: 9781466640078
DOI: 10.4018/978-1-4666-4006-1.ch013
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MLA

Batten, Lynn, et al. "Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations." Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security, edited by Chang-Tsun Li, IGI Global, 2013, pp. 181-194. https://doi.org/10.4018/978-1-4666-4006-1.ch013

APA

Batten, L., Pan, L., & Khan, N. (2013). Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations. In C. Li (Ed.), Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security (pp. 181-194). IGI Global. https://doi.org/10.4018/978-1-4666-4006-1.ch013

Chicago

Batten, Lynn, Lei Pan, and Nisar Khan. "Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations." In Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security, edited by Chang-Tsun Li, 181-194. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-4006-1.ch013

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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.

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