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dc.contributor.authorKarresand, Nils Martin Mikael
dc.contributor.authorDyrkolbotn, Geir Olav
dc.contributor.authorAxelsson, Stefan
dc.date.accessioned2021-02-05T08:53:29Z
dc.date.available2021-02-05T08:53:29Z
dc.date.created2021-01-19T14:57:34Z
dc.date.issued2020
dc.identifier.issn2666-2825
dc.identifier.urihttps://hdl.handle.net/11250/2726325
dc.description.abstractThe amount of data to be handled in digital forensic investigations is continuously increasing, while the tools and processes used are not developed accordingly. This especially affects the digital forensic subfield of file carving. The use of the structuring of stored data induced by the allocation algorithm to increase the efficiency of the forensic process has been independently suggested by Casey and us. Building on that idea we have set up an experiment to study the allocation algorithm of NTFS and its behavior over time from different points of view. This includes if the allocation algorithm behaves the same regardless of Windows version or size of the hard drive, its adherence to the best fit allocation strategy and the distribution of the allocation activity over the available (logical) storage space. Our results show that space is not a factor, but there are differences in the allocation behavior between Windows 7 and Windows 10. The results also show that the allocation strategy favors filling in holes in the already written area instead of claiming the unused space at the end of a partition and that the area with the highest allocation activity is slowly progressing from approximately 10 GiB into a partition towards the end as the disk is filling upen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2666281720302572
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleAn Empirical Study of the NTFS Cluster Allocation Behavior Over Timeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume33en_US
dc.source.journalForensic Science International: Digital Investigationen_US
dc.identifier.doi10.1016/j.fsidi.2020.301008
dc.identifier.cristin1874533
dc.relation.projectNorges forskningsråd: 248094en_US
dc.description.localcode© 2020 The Author(s). Published by Elsevier Ltd on behalf of DFRWS. All rights reserved. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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