INVITED: ObfusCADe: Obfuscating Additive Manufacturing CAD Models Against Counterfeiting

Nikhil Gupta, Fei Chen, Nektarios Georgios Tsoutsos, Michail Maniatakos

Research output: Chapter in Book/Report/Conference proceedingConference contribution


As additive manufacturing (AM) becomes more pervasive, its supply chains shift towards distributed business models that heavily rely on cloud resources. Despite its countless benefits, this paradigm raises significant concerns about the trustworthiness of the globalized process, as there exist several classes of cybersecurity attacks that can undermine its security guarantees. In this work, we focus on the protection of the intellectual property (IP) of 3D designs, and introduce ObfusCADe, which is a novel protection method against counterfeiting, by embedding special features in CAD models. The introduced features interfere with the integrity of the design, effectively restricting high quality manufacturing to only a unique set of processing settings and conditions; under all other conditions, the printed artifact suffers from poor quality, premature failures and/or malfunctions.

Original languageEnglish (US)
Title of host publicationProceedings of the 54th Annual Design Automation Conference 2017, DAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450349277
StatePublished - Jun 18 2017
Event54th Annual Design Automation Conference, DAC 2017 - Austin, United States
Duration: Jun 18 2017Jun 22 2017

Publication series

NameProceedings - Design Automation Conference
VolumePart 128280
ISSN (Print)0738-100X


Other54th Annual Design Automation Conference, DAC 2017
Country/TerritoryUnited States


  • 3D printing
  • Additive manufacturing
  • CAD modeling
  • cyber-physical system
  • cybersecurity
  • fused deposition modeling
  • threat models

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation


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