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Title: Security of additive manufacturing: Attack taxonomy and survey

Journal Article · · Additive Manufacturing
 [1];  [2];  [1];  [3];  [1];  [4];  [5]
  1. Univ. of South Alabama, Mobile, AL (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Ben-Gurion Univ. of the Negev, Beersheba (Israel)
  4. Univ. of Tennessee, Chattanooga, TN (United States); Auburn Univ., AL (United States)
  5. 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 Lab. (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, Vol. 21, Issue C; ISSN 2214-8604
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 54 works
Citation information provided by
Web of Science

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Cited By (2)

Creativity and productivity in product design for additive manufacturing: Mechanisms and platform outcomes of remixing journal April 2019
Embedding Tracking Codes in Additive Manufactured Parts for Product Authentication journal July 2018