PALMIERI, Gareth and ZARGARI, Shahrzad (2017). Using open source forensic carving tools on split dd and EWF files. In: Proceedings, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 379-383. (In Press) [Book Section]
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Zargari-UsingOpenSourceForensicCarvingTools(AM).pdf - Accepted Version
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Zargari-UsingOpenSourceForensicCarvingTools(AM).pdf - Accepted Version
Available under License All rights reserved.
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Abstract
This study tests a number of open source forensic
carving tools to determine their viability when run across split raw
forensic images (dd) and Expert Witness Compression Format
(EWF) images. This is done by carving files from a raw dd file to
determine the baseline before running each tool over the different
image types and analysing the results. A framework is then written
in python to allow Scalpel to be run across any split dd image,
whilst simultaneously concatenating the carved files and sorting by
file type. This study tests the framework on a number of scenarios
and concludes that this is an effective method of carving files using
Scalpel over split dd images.
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