Security of additive manufacturing: Attack taxonomy and survey
- Univ. of South Alabama, Mobile, AL (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Ben-Gurion Univ. of the Negev, Beersheba (Israel)
- Univ. of Tennessee, Chattanooga, TN (United States); Auburn Univ., AL (United States)
- Ben-Gurion Univ. of the Negev, Beersheba (Israel). Cyber Security Research Center; Singapore Univ. of Technology and Design (Singapore)
Additive manufacturing (AM) is a rapidly growing, multibillion dollar industry. AM is increasingly being used to manufacture functional parts, including components of safety critical systems in aerospace, automotive, and other industries. This makes AM an attractive attack target. AM Security is a fairly new field of research that addresses this novel threat. Here, this paper serves dual purposes: For researchers just entering AM security, we provide an in-depth introduction to this highly multi-disciplinary research field. And, for active researchers in the field, this paper provides a comprehensive, structured survey of the state of the art as well as our proposal for attack taxonomies.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344
- OSTI ID:
- 1502040
- Alternate ID(s):
- OSTI ID: 1702252
- Report Number(s):
- LLNL-JRNL--738793; 892351
- Journal Information:
- Additive Manufacturing, Journal Name: Additive Manufacturing Journal Issue: C Vol. 21; ISSN 2214-8604
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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