A Novel Principle to Validate Digital Forensic Models

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dc.cclicenceN/Aen
dc.contributor.authorMothi, Dinesh
dc.contributor.authorJanicke, Helge
dc.contributor.authorWagner, Isabel
dc.date.acceptance2020-01-04
dc.date.accessioned2020-03-12T09:10:07Z
dc.date.available2020-03-12T09:10:07Z
dc.date.issued2020-03-10
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractDigital forensic models (DFMs) form the base for any digital investigation because they guide the investigators with necessary steps and procedures to be taken during the investigation. State-of-the-art DFMs assume that it is safe to proceed from one stage of the investigation to the next without taking into account the anti-forensic techniques that could be used to defeat the investigation process.However, the findings in the literature shows that common phases in the digital forensic process such as acquisition, examination, analysis, and reporting are affected by various anti- forensic (AF) methods.To fill this gap, we propose an abstract digital forensic framework and validate DFMs by factoring in AF techniques affecting various phases in a digital forensic process. This validation principle can be used to enhance state-of-the-art DFMs to enable principled detection and countering of AF techniques before being applied to a real-time investigation case.en
dc.funderNo external funderen
dc.identifier.citationMothi, D. Janicke, H., Wagner, I. (2020) A novel principle to validate digital forensic models. Forensic Science International: Digital Investigation, 200904.en
dc.identifier.doihttps://doi.org/10.1016/j.fsidi.2020.200904
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/19374
dc.language.isoen_USen
dc.peerreviewedYesen
dc.publisherElsevieren
dc.researchinstituteCyber Technology Institute (CTI)en
dc.subjectdigital forensic modelsen
dc.subjectvalidation principleen
dc.subjectanti-forensicsen
dc.titleA Novel Principle to Validate Digital Forensic Modelsen
dc.typeArticleen

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