Mining Social Networking Sites for Digital Evidence

aut.researcherCusack, Brian
dc.contributor.authorCusack, Ben_NZ
dc.contributor.authorAlshaifi, Sen_NZ
dc.date.accessioned2017-03-06T20:38:40Z
dc.date.available2017-03-06T20:38:40Z
dc.date.copyright2015-12-14en_NZ
dc.date.issued2015-12-14en_NZ
dc.description.abstractOnLine Social Networking sites (SNS) hold a vast amount of information that individuals and organisations post about themselves. Investigations include SNS as sources of evidence and the challenge is to have effective tools to extract the evidence. In this exploratory research we apply the latest version of a proprietary tool to identify potential evidence from five SNS using three different browsers. We found that each web browser influenced the scope of the evidence extracted. In previous research we have shown that different open source and proprietary tools influence the scope of evidence obtained. In this research we asked, What variation in the scope of evidence extraction can be expected between different browsers? The implications of this exploratory research is for precaution. The choice of a web browser used to investigate a SNS directly influences the scope of digital evidence obtained.
dc.identifier.citationThe Proceedings of [the] 13th Australian Digital Forensics Conference, held from the 30 November – 2 December, 2015 (pp. 15-21), Edith Cowan University Joondalup Campus, Perth, Western Australia.en_NZ
dc.identifier.doi10.4225/75/57b3f23afb885
dc.identifier.urihttps://hdl.handle.net/10292/10366
dc.publisherSecurity Research Institute, Edith Cowan University
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectSocial; Networking; Investigation; Browsers; Evidence
dc.titleMining Social Networking Sites for Digital Evidenceen_NZ
dc.typeConference Contribution
pubs.elements-id194028
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
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