IEEE Consumer Electronics Magazine - January/February 2024 - 60

Privacy-Aware Emerging Computing
Due to inheritance of the vulnerabilities associated
with CAN, an adversary can easily compromise
an entire 3D printing device or farm
through a single exploit to risk private, safety
critical (including the user themselves), and
device security data.
In future work, security features should be
explored to mitigate the threat of adversaries
without significantly reducing the benefits of
CAN in the printer. Despite many vehicular CAN
security frameworks have been proposed in the
past, AM modules provide a new challenge to
CAN security due to its focus on easy part swapping,
modularity, and plug-and-play. Most existing
CAN security concepts result in problems
that significantly diminish the benefits that CAN
brings to the additive manufacturing market.
However, by focusing on and proposing future
AM security, even modular/plug-and-play printers
can provide sufficient privacy and security
between the modules without losing the benefits
of CAN.
While our attacks demonstrate strong risk to
safety and privacy, this does not conclude the
removal of CAN from our AM and 3D printing systems.
To fully secure the future of CAN in AM, it
will require manufacturers and researchers to
revisit CAN security and attacks in the context of
modular, dynamic 3D printers CAN networks.
Thus, CAN will require development into a
strong design around security, reliability, and
privacy for both commercial farms and personal
printers alike.
ACKNOWLEDGMENTS
This work was supported by the Office of
Local Defense Community Cooperation, Department
of Defense under contract with Himanshu
Thapliyal. The content reflects the views of
Himanshu Thapliyal and does not necessarily
reflect the views of the Office of Local Defense
Community Cooperation.
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