Investigating 3D Printer Residual Data

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.

A Digital Forensics Investigation of a Smart Scale IoT Ecosystem

“…A two-phase approach was used in order to investigate the hypothesis and research questions that extends ideas presented by Miller et al [27]. The first phase consists of a black box analysis, whose purpose is to identify hardware capabilities, data storage locations in the smart scale IoT ecosystem, and potential data access methods.…”