Image Attribute Estimation for Forensic Image Reconstruction from Fragments
Files
Date
2023-01-03
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
6633
Ending Page
Alternative Title
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.
Description
Keywords
Cyber Operations, Defense, and Forensics, image attribute estimation, image forensics, image reconstruction, stitching
Citation
Extent
10
Format
Geographic Location
Time Period
Related To
Proceedings of the 56th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.