Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/60154

Investigating 3D Printer Residual Data

File Size Format  
0714.pdf 1.57 MB Adobe PDF View/Open

Item Summary

Title:Investigating 3D Printer Residual Data
Authors:Miller, Daniel
Gatlin, Jacob
Glisson, William
Yampolskiy, Mark
McDonald, Jeffrey
Keywords:Cyber Threat Intelligence and Analytics
Software Technology
Additive Manufacturing, Embedded Systems, Forensics
Date Issued:08 Jan 2019
Abstract:The continued adoption of Additive Manufacturing (AM) technologies is raising concerns in the security, forensics, and intelligence gathering communities. These concerns range from identifying and mitigating compromised devices, to theft of intellectual property, to sabotage, to the production of prohibited objects. Previous research has provided insight into the retrieval of configuration information maintained on the devices, but this work shows that the devices can additionally maintain information about the print process. Comparisons between before and after images taken from an AM device reveal details about the device’s activities, including printed designs, menu interactions, and the print history. Patterns in the storage of that information also may be useful for reducing the amount of data that needs to be examined during an investigation. These results provide a foundation for future investigations regarding the tools and processes suitable for examining these devices.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/60154
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Cyber Threat Intelligence and Analytics


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons