Quantifying Likelihood in Digital Forensic Investigations
Richard E Overill
(Department of Informatics, King’s College London, London WC2R 2LS, United Kingdom)
Abstract:
While the conventional forensic scientists routinely validate and express the results of their investigations quantitatively using statistical measures from probability theory, digital forensics examiners rarely if ever do so. In this paper, we review some of the quantitative tools and techniques which are available for use in digital forensic investigations, including Bayesian networks, complexity theory, information theory and probability theory, and indicate how they may be used to obtain likelihood ratios or odds ratios for the relative plausibility of alternative explanations for the creation of the recovered digital evidence. The potential benefits of such quantitative measures for modern digital forensics are also outlined.
Key words: likelihood ratio odds ratio Bayesian network power law statistics, probability theory complexity theory information theory
DOI：10.11916/j.issn.1005-9113.2014.06.001
Clc Number:TP39
Fund:
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Quantifying Likelihood in Digital Forensic Investigations
本站小编 哈尔滨工业大学/2019-10-24
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