CloudMe forensics : a case of big-data investigation

Teing, Y-Y, Dehghantanha, A ORCID: and Raymond Choo, K-K 2017, 'CloudMe forensics : a case of big-data investigation' , Concurrency and Computation: Practice and Experience, 30 (5) .

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The significant increase in the volume, variety and velocity of data complicates cloud forensic efforts, as such big data will, at some point, become computationally expensive to be fully extracted and analyzed in a timely manner. Thus, it is important for a digital forensic practitioner to have a well-rounded knowledge about the most relevant data artefacts that could be forensically recovered from the cloud product under investigation. In this paper, CloudMe, a popular cloud storage service, is studied. The types and locations of the artefacts relating to the installation and uninstallation of the client application, logging in and out, and file synchronization events from the computer desktop and mobile clients are described. Findings from this research will pave the way towards the development of tools and techniques (e.g. data mining techniques) for cloud-enabled big data endpoint forensics investigation.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Concurrency and Computation: Practice and Experience
Publisher: John Wiley & Sons
ISSN: 1532-0634
Related URLs:
Depositing User: Dr. Ali Dehghantanha
Date Deposited: 01 Aug 2017 12:42
Last Modified: 15 Feb 2022 22:18

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