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dc.contributor.advisorMcCoy, Mark R.
dc.contributor.authorYang, Shujian
dc.date.accessioned2020-07-13T19:00:24Z
dc.date.available2020-07-13T19:00:24Z
dc.date.issued2015
dc.identifier.other(AlmaMMSId)9982440071902196
dc.identifier.urihttps://hdl.handle.net/11244/325232
dc.description.abstractRapid development of cloud computing brings challenges to digital forensic investigation, where traditional digital forensic tools and methodologies do not apply well. New approaches are needed to overcome emerged problems. This research focuses on analyzing a popular cloud storage service Google Drive in a forensically sound manner. The application programming interface (API) approach is chosen as the main method to perform digital forensic investigation. A sample application is developed to acquire evidence from Google Drive. Experiments were then conducted to evaluate its effect based on results. By comparing the results with other approaches, the API approach proves to be effective and reliable for digital forensic examiners and forensic software developers to consider as available tool in their arsenal.
dc.rightsAll rights reserved by the author, who has granted UCO Chambers Library the non-exclusive right to share this material in its online repositories. Contact UCO Chambers Library's Digital Initiatives Working Group at diwg@uco.edu for the permission policy on the use, reproduction or distribution of this material.
dc.subject.lcshForensic sciences
dc.subject.lcshCloud computing
dc.subject.lcshApplication program interfaces (Computer software)
dc.subject.lcshElectronic evidence
dc.titleGoogle Drive forensic analysis via application programming interface.
dc.typeAcademic theses
dc.contributor.committeeMemberLord, Wayne D.
dc.contributor.committeeMemberPark, Myung Ah
dc.thesis.degreeM.S., Forensic Science
dc.subject.keywordsInformation technology
dc.subject.keywordsComputer science
dc.subject.keywordsAPI
dc.subject.keywordsCloud storage
dc.subject.keywordsDigital forensics
dc.subject.keywordsGoogle Drive
dc.identifier.oclc(OCoLC)ocn948212787
uco.groupUCO - Graduate Works and Theses::UCO - Theses
thesis.degree.grantorJackson College of Graduate Studies


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