A two-stage model for social network investigations in digital forensics

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dc.contributor.authorDavid, Anne
dc.contributor.authorMorris, Sarah
dc.contributor.authorAppleby-Thomas, Gareth J.
dc.date.accessioned2020-08-28T15:11:36Z
dc.date.available2020-08-28T15:11:36Z
dc.date.issued2020-08-20
dc.description.abstractThis paper proposes a two-stage model for identifying and contextualizing features from artefacts created as a result of social networking activity. This technique can be useful in digital investigations and is based on understanding and the deconstruction of the processes that take place prior to, during and after user activity; this includes corroborating artefacts. Digital Investigations are becoming more complex due to factors such as, the volume of data to be examined; different data formats; a wide range of sources for digital evidence; the volatility of data and the limitations of some of the standard digital forensic tools. This paper highlights the need for an approach that enables digital investigators to prioritize social network artefacts to be further analysed; determine social connections in the context of an investigation e.g. a user’s social relationships, how recovered artefacts came to be, and how they can successfully be used as evidence in courten_UK
dc.identifier.citationDavid A, Morris S, Appleby-Thomas G. (2020) A two-stage model for social network investigations in digital forensics. Journal of Digital Forensics, Security and Law, Volume 15, August 2020, Article number 1en_UK
dc.identifier.issn1558-7215
dc.identifier.urihttps://commons.erau.edu/jdfsl/vol15/iss2/1
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/15732
dc.language.isoenen_UK
dc.publisherAssociation of Digital Forensics, Security and Lawen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectComputer Law Commonsen_UK
dc.subjectInformation Securityen_UK
dc.subjectEvidence Commonsen_UK
dc.titleA two-stage model for social network investigations in digital forensicsen_UK
dc.typeArticleen_UK

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