Google Drive forensic analysis via application programming interface.
dc.contributor.advisor | McCoy, Mark R. | |
dc.contributor.author | Yang, Shujian | |
dc.contributor.committeeMember | Lord, Wayne D. | |
dc.contributor.committeeMember | Park, Myung Ah | |
dc.date.accessioned | 2020-07-13T19:00:24Z | |
dc.date.available | 2020-07-13T19:00:24Z | |
dc.date.issued | 2015 | |
dc.description.abstract | Rapid 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.identifier.oclc | (OCoLC)ocn948212787 | |
dc.identifier.other | (AlmaMMSId)9982440071902196 | |
dc.identifier.uri | https://hdl.handle.net/11244/325232 | |
dc.rights | All 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.keywords | Information technology | |
dc.subject.keywords | Computer science | |
dc.subject.keywords | API | |
dc.subject.keywords | Cloud storage | |
dc.subject.keywords | Digital forensics | |
dc.subject.keywords | Google Drive | |
dc.subject.lcsh | Forensic sciences | |
dc.subject.lcsh | Cloud computing | |
dc.subject.lcsh | Application program interfaces (Computer software) | |
dc.subject.lcsh | Electronic evidence | |
dc.thesis.degree | M.S., Forensic Science | |
dc.title | Google Drive forensic analysis via application programming interface. | |
dc.type | Academic theses | |
thesis.degree.grantor | Jackson College of Graduate Studies | |
uco.group | UCO - Graduate Works and Theses::UCO - Theses |
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