Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5469484 | Journal of Manufacturing Systems | 2017 | 11 Pages |
Abstract
One of the key advantages of additive manufacturing (AM) is its digital thread, which allows for rapid communication, iteration, and sharing of a design model and its corresponding physical representation. While this enables a more efficient design process, it also presents opportunities for cyber-attacks to impact the physical word. In this paper the authors examine potential attack vectors along the Additive Manufacturing process chain. Specifically, the effects of cyber-physical attacks, and potential means for detecting them, are explored. To explore the potential implications of such an attack, a case study was conducted to evaluate the ability of human subjects to detect and diagnose a cyber-physical attack on the STL file of a test specimen. Based on the results of this study, recommendations are presented for preventing and detecting cyber-physical attacks on AM processes.
Related Topics
Physical Sciences and Engineering
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Authors
Logan D. Sturm, Christopher B. Williams, Jamie A. Camelio, Jules White, Robert Parker,