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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Richard E Overill.Quantifying Likelihood in Digital Forensic Investigations[J].Journal of Harbin Institute Of Technology(New Series),2014,21(6):1-4.DOI:10.11916/j.issn.1005-9113.2014.06.001.
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Quantifying Likelihood in Digital Forensic Investigations
Author NameAffiliation
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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