Files
Download Full Text (1.4 MB)
Description
Additive Manufacturing (AM) is a set of newer computer-dependent production technologies that is seeing rapid adoption across a wide variety of industries, including defense, aerospace, automotive, and healthcare. With increased adoption comes an increased opportunity for misuse and abuse of such systems, which will lead to an increased need for Digital Forensic investigations into these platforms. This research forensically analyzes a number of AM devices to explore the options available for data acquisition as well as the impacts of hardware and software design choices on the analysis and investigation results. Hardware is investigated using Open-Source Intelligence (OSINT) sources to determine access routes. Acquisitions are then taken from the devices at predefined points in the production process and compared sequentially by cryptographic hashes of files or data blocks to determine the changes caused by operation. The aggregate data from the case studies will then be compared to form the basis of a taxonomy to discuss forensic investigations of AM devices.
Publication Date
3-2025
Department
Computer Science
City
Mobile
Disciplines
Cybersecurity | Databases and Information Systems | Information Security | Other Computer Sciences
Recommended Citation
Miller, Daniel B., "Analysis of Forensic Techniques for Additive Manufacturing Devices" (2025). Shelby Hall Graduate Research Forum Posters. 6.
https://jagworks.southalabama.edu/southalabama-shgrf-posters/6
Included in
Cybersecurity Commons, Databases and Information Systems Commons, Information Security Commons, Other Computer Sciences Commons
