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    A study on metadata tagging for tracking original file information within the Cloud

    Crossley, R. and Asimakopoulou, E. and Sotiriadis, Stelios and Bessis, N. (2013) A study on metadata tagging for tracking original file information within the Cloud. In: UNSPECIFIED (ed.) 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. IEEE, pp. 453-456. ISBN 9780769550947.

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    Abstract

    This paper discusses the cloud computing data storage and the impact of metadata tagging as a potential method for tracking original file information. We focus on demonstrating current digital forensic methods and approaches with regard to their applicability in cloud computing. In particular, we explore works discussing cloud computing in relation to digital forensics for disaster management cases. We propose possible solutions for tackling problems posed to the forensic examiner trying to analyze exchangeable image file formats of the filename extension of jpg for images that have been stored within the cloud to identify file information for a disaster management emergency situation.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): cloud computing, disasters, emergency management, image forensics, meta data, JPG filename extension, cloud computing data storage, digital forensic methods, disaster management emergency situation, exchangeable image file format analysis, file information identification, metadata tagging, original-file information tracking, Cloud computing, Computers, Forensics, Guidelines, Media, Mobile handsets, Tagging, Cloud computing, Exchangeable image file formats, Forensics for disaster management, Metadata tags, Virtualization
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 01 Oct 2018 09:42
    Last Modified: 09 Aug 2023 12:43
    URI: https://eprints.bbk.ac.uk/id/eprint/21823

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