Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume 44, Issue -, Pages 154-164Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jmsy.2017.05.007
Keywords
Additive manufacturing; Cyber-physical security; Advanced manufacturing
Categories
Funding
- National Science Foundation [1446804]
- Virginia Tech
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1446804] Funding Source: National Science Foundation
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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. (C) 2017 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
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