Remember the post about the insecurity in 3D printing? I got contacted byJeremy Straub, Ph.D., M.B.A.Department of Computer Science,University of North Dakota, This was his view
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North Dakota Researchers Offer Solution to
NYU 3D Printing Cybersecurity Concerns
FOR IMMEDIATE RELEASE
GRAND FORKS, August 1, 2016 – In a news release and paper in
late July, researchers at New York University raised multiple cybersecurity
concerns related to 3D printing.
Specifically, they contended that the intentional incorporation of small
defects or the alteration of the printing orientation of a part, among other
things, could be performed to maliciously reduce the durability and suitability
for use of 3D printed parts. Thus, under
this scenario, a computer ‘hacker’ would be able to potentially cause injury,
or at least loss of the value of the produced part in the real world.
Researchers at the University of North Dakota offer a
solution to this problem. In a February,
2015 article in the journal Machines
entitled “Initial Work on the Characterization of Additive Manufacturing (3D
Printing) Using Software Image Analysis,” UND researcher Jeremy Straub
demonstrates how model-based assessment can be used to detect issues with 3D
printed parts. While this work was
initially performed to detect defects due to material issues, equipment
malfunction and happenstance, it is also applicable to preventing malicious
attacks, as well.
“An independent detection system, using a model of the
expected output as a baseline, would be able to identify defects created by
maloperation as well as maliciously introduced ones,” commented Straub. “The level of separation that is practically
required will depend on the severity of the impact of a defect, the likelihood
of attack and what other countermeasures are in place to prevent or mitigate
such an attack.”
The system proposed would still be reliant on the resolution
of the sensors, a key concern raised by the NYU researchers. However, the technology can be used with any
relevant and position-correlated pixel-based sensing technology, meaning that
even microscope-detail-level imagery could be used to assess an object, if dictated
for a given application. Object position
issues and other larger changes to the expected printing results could also be
easily detected. These would, of course,
require a user to select the desired printing orientation and would not attempt
to detect an orientation selection mistake made due to human error.
A UND-based team is working on commercializing this
technology, at present, with support from a North Dakota Department of Commerce
Venture Grant. This work is part of
ongoing 3D printing research at the university.
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University of North Dakota researchers are currently
working to advance 3D printing technologies in multiple ways. This work includes 3D printing quality
assessment technology development, space 3D printing technology development,
human-scale scanning and printing, and large structure printing technology
development. Previous work by the team
has been featured in journal and conference publications (including
presentations at aerospace-sector conferences and the SME RAPID Conference). A paper on Martian 3D printing is currently a
top-read paper for the Elsevier Acta Astronautica Journal. "
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