Quantification of digital forensic hypotheses using probability theory

Richard E. Overill; Jantje A M Silomon; Kam Pui Chow; Hayson Tse

doi:10.1109/SADFE.2013.6911547

Quantification of digital forensic hypotheses using probability theory

Richard E. Overill^*, Jantje A M Silomon, Kam Pui Chow, Hayson Tse

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

2 Citations (Scopus)

Abstract

The issue of downloading illegal material from a website onto a personal digital device is considered from the perspective of conventional (Pascalian) probability theory. We present quantitative results for a simple model system by which we analyse and counter the putative defence case that the forensically recovered illegal material was downloaded accidentally by the defendant. The model is applied to two actual prosecutions involving possession of child pornography.

Original language	English
Title of host publication	Int. Workshop Syst. Approaches Digit. Forensics Eng., SADFE
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479940615
DOIs	https://doi.org/10.1109/SADFE.2013.6911547
Publication status	Published - 25 Sept 2014
Event	2013 8th International Workshop on Systematic Approaches to Digital Forensics Engineering, SADFE 2013 - Hong Kong, Hong Kong Duration: 21 Nov 2013 → 22 Nov 2013

Conference

Conference	2013 8th International Workshop on Systematic Approaches to Digital Forensics Engineering, SADFE 2013
Country/Territory	Hong Kong
City	Hong Kong
Period	21/11/2013 → 22/11/2013

Keywords

digital forensic hypotheses
digital forensics
possession of child pornography
Probability theory
quantification of plausibility

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/SADFE.2013.6911547

Cite this

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title = "Quantification of digital forensic hypotheses using probability theory",

abstract = "The issue of downloading illegal material from a website onto a personal digital device is considered from the perspective of conventional (Pascalian) probability theory. We present quantitative results for a simple model system by which we analyse and counter the putative defence case that the forensically recovered illegal material was downloaded accidentally by the defendant. The model is applied to two actual prosecutions involving possession of child pornography.",

keywords = "digital forensic hypotheses, digital forensics, possession of child pornography, Probability theory, quantification of plausibility",

author = "Overill, {Richard E.} and Silomon, {Jantje A M} and Chow, {Kam Pui} and Hayson Tse",

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language = "English",

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Overill, RE , Silomon, JAM, Chow, KP & Tse, H 2014, Quantification of digital forensic hypotheses using probability theory. in Int. Workshop Syst. Approaches Digit. Forensics Eng., SADFE., 6911547, Institute of Electrical and Electronics Engineers Inc., 2013 8th International Workshop on Systematic Approaches to Digital Forensics Engineering, SADFE 2013, Hong Kong, Hong Kong, 21/11/2013. https://doi.org/10.1109/SADFE.2013.6911547

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AU - Silomon, Jantje A M

AU - Chow, Kam Pui

AU - Tse, Hayson

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Y1 - 2014/9/25

N2 - The issue of downloading illegal material from a website onto a personal digital device is considered from the perspective of conventional (Pascalian) probability theory. We present quantitative results for a simple model system by which we analyse and counter the putative defence case that the forensically recovered illegal material was downloaded accidentally by the defendant. The model is applied to two actual prosecutions involving possession of child pornography.

AB - The issue of downloading illegal material from a website onto a personal digital device is considered from the perspective of conventional (Pascalian) probability theory. We present quantitative results for a simple model system by which we analyse and counter the putative defence case that the forensically recovered illegal material was downloaded accidentally by the defendant. The model is applied to two actual prosecutions involving possession of child pornography.

KW - digital forensic hypotheses

KW - digital forensics

KW - possession of child pornography

KW - Probability theory

KW - quantification of plausibility

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M3 - Conference paper

SN - 9781479940615

BT - Int. Workshop Syst. Approaches Digit. Forensics Eng., SADFE

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2013 8th International Workshop on Systematic Approaches to Digital Forensics Engineering, SADFE 2013

Y2 - 21 November 2013 through 22 November 2013

ER -

Quantification of digital forensic hypotheses using probability theory

Abstract

Conference

Keywords

UN SDGs

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