Image Attribute Estimation for Forensic Image Reconstruction from Fragments

dc.contributor.author Montambault, Kevin
dc.contributor.author Kul, Gokhan
dc.date.accessioned 2022-12-27T19:22:56Z
dc.date.available 2022-12-27T19:22:56Z
dc.date.issued 2023-01-03
dc.description.abstract The increasing prevalence of cyber-crime has led to a surge of new forensics tools aimed at collecting digital evidence from a suspect’s computer. A suspect’s hard drive can be the largest source of collected information, but the task of collection can be made significantly more difficult when the contents of a hard drive are deleted or damaged. In these circumstances the information needed to read files normally may be missing, leaving only the raw, often fragmented, data behind. If we were able to reliably reconstruct files from this raw data, then it would be more difficult for suspects to destroy potential evidence. In this paper, we focus on the reconstruction of an image from a set of fragments. This research contributes a novel image reconstruction method which utilizes pre-stitch data extraction on individual data sectors. We show that, when certain attributes are successfully extracted from the data sectors, this method yields a high reconstruction accuracy even when used with a naive stitching algorithm on heavily fragmented image files.
dc.format.extent 10
dc.identifier.doi 10.24251/HICSS.2023.802
dc.identifier.isbn 978-0-9981331-6-4
dc.identifier.uri https://hdl.handle.net/10125/103436
dc.language.iso eng
dc.relation.ispartof Proceedings of the 56th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Cyber Operations, Defense, and Forensics
dc.subject image attribute estimation
dc.subject image forensics
dc.subject image reconstruction
dc.subject stitching
dc.title Image Attribute Estimation for Forensic Image Reconstruction from Fragments
dc.type.dcmi text
prism.startingpage 6633
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