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abstract

Lightweight Hierarchical Root-of-Trust Framework for CAN-based 3D Printing Security

Published:05 June 2023Publication History

ABSTRACT

Controller Area Network (CAN) has been demonstrated to have excellent applications in 3D printer communication. However, single-bus CAN network designs are plagued with vulnerabilities, such as hijacking, denial-of-service, and eavesdropping. Exploitation of these issues can result in every node in the network being compromised. In response, we propose a hierarchical tree-based design focused on protecting the CAN bus and isolating critical systems in a novel approach against these threats. By organizing ASCON-encrypted network routing into smaller, authenticated CAN sub-nets, modular 3D printers can maintain integrity, confidentiality, and authenticity of all traffic. Our preliminary results demonstrate an 88-99% hardware efficiency between pre-existing client nodes and the total nodes after conversion to our framework.

References

  1. Jun-Cheng Chin, Himanshu Thapliyal, and Tyler Cultice. 2022. CAN Bus: The Future of Additive Manufacturing (3D Printing). IEEE Consumer Electronics Magazine (2022), 1--6. https://doi.org/10.1109/MCE.2022.3216944Google ScholarGoogle Scholar
  2. Tyler Cultice and Himanshu Thapliyal. 2023. Vulnerabilities and Attacks on CAN-Based 3D Printing/Additive Manufacturing. IEEE Consumer Electronics Magazine (2023), 1--7. https://doi.org/10.1109/MCE.2023.3240849Google ScholarGoogle ScholarCross RefCross Ref
  3. Christoph Dobraunig, Maria Eichlseder, Florian Mendel, and Martin Schläffer. 2019. Ascon v1.2. NIST Lightweight Cryptography Project. https://csrc.nist.gov/CSRC/media/Projects/Lightweight-Cryptography/documents/round-1/spec-doc/ascon-spec.pdfGoogle ScholarGoogle Scholar

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  1. Lightweight Hierarchical Root-of-Trust Framework for CAN-based 3D Printing Security

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        • Published in

          cover image ACM Conferences
          GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023
          June 2023
          731 pages
          ISBN:9798400701252
          DOI:10.1145/3583781

          Copyright © 2023 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 5 June 2023

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