Cited by 9Additive Manufacturing and 3D Printing TechnologiesAdversarial Robustness in Machine LearningPhysical Unclonable Functions (PUFs) and Hardware Security

Low-Magnitude Infill Structure Manipulation Attacks on Fused Filament Fabrication 3D Printers

Open access
Rais, Muhammad Haris, Ahsan, Muhammad, Sharma, Vaibhav, Barua, Radhika, Prins, Rob, Ahmed, Irfan·2022·IFIP Advances in Information and Communication Technology

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Registry

Crossref · 10.1007/978-3-031-20137-0_8

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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  • Manipulating filament extrusion speed during printing causes localized variations in filament width, with some regions thicker and others thinner.

    “It is also possible to target the speed of motion. In such attacks the adversary manipulates the filament extrusion speed during printing, causing localized variations in filament width. Specifically, some regions of the printed object receive more filament, making them thicker, while other regions receive less, resulting in thinner sections[28,27,9,24].”

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Authors
Rais, M. H., Ahsan, M., Sharma, V., Barua, R., Prins, R., & Ahmed, I.
Affiliations
  • Virginia Commonwealth University (US)
  • James Madison University (US)
Corresponding author
Ahmed, Irfan
Venue
IFIP Advances in Information and Communication Technology
Published
2022
Volume
AICT-666
Pages
205-232
ISSN
  • 1868-422X (ISSN-L)
  • 1868-4238
OpenAlex
W4312908360
Cited by
9
References
1
Citations by year
2025: 2 · 2024: 3 · 2023: 3 · 2022: 1
FWCI
2.31
Type
conference paper
Language
en
Open access
Locations
  • IFIP advances in information and communication technology (publishedVersion)
  • HAL (submittedVersion, cc-by)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Additive Manufacturing and 3D Printing Technologies
  • Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
  • Physical Sciences › Computer Science › Hardware and Architecture › Physical Unclonable Functions (PUFs) and Hardware Security
Keywords
fused deposition modeling, attack detection evasion, stealthy attacks, cyber-physical attacks, destructive testing

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