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Research Papers

Method for Enabling a Root of Trust in Support of Product Data Certification and Traceability

[+] Author and Article Information
Thomas D. Hedberg, Jr.

Systems Integration Division,
Engineering Laboratory, National Institute of Standards and Technology,
Gaithersburg, MD 20899
e-mails: tdh1@nist.gov; thomas.hedberg@nist.gov

Sylvere Krima

Engisis LLC,
Bethesda, MD 20817
e-mail: sylvere.krima@engisis.com

Jaime A. Camelio

Grado Department of Industrial and Systems Engineering,
Virginia Tech,
Blacksburg, VA 24061
e-mail: jcamelio@vt.edu

1Corresponding author.

Manuscript received August 22, 2018; final manuscript received January 28, 2019; published online June 3, 2019. Assoc. Editor: Kazuhiro Saitou. This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. Approved for public release; distribution is unlimited.

J. Comput. Inf. Sci. Eng 19(4), 041003 (Jun 03, 2019) (13 pages) Paper No: JCISE-18-1215; doi: 10.1115/1.4042839 History: Received August 22, 2018; Accepted January 29, 2019

Trust in product data quality (PDQ) is critical to successful implementation of the model-based enterprise (MBE). Such trust does not extend to the exchange and the reuse of three-dimensional (3D) product models across the product life cycle because verifiable traceability in the product data is lacking. This assurance is especially crucial when “siloed” manufacturing functions produce the product data that is not fully interoperable and thus requires frequent reworking to enable its reuse. Previous research showed how public key infrastructure (X.509-PKI) from the X.509 standard could be used to embed digital signatures into the product data for the purposes of certification and traceability. This paper first provides an overview and review of technologies that could be integrated to support trust throughout the product life cycle. This paper then proposes a trust structure that supports several data transaction types. Then, the paper presents a case study for common configuration management (CM) workflows that are typically found in regulated industries. Finally, the paper draws conclusions and provides recommendations for further research for enabling the product life cycle of trust (PLOT).

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Figures

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Fig. 1

Examples of the single-path and multipath hierarchical signing employed in the digital manufacturing certificates toolkit (from Ref. [7])

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Fig. 2

Hierarchy for chains of trust using X.509-PKI principles

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Fig. 3

X.509-PKI certificates chain showing the levels of the trust structure

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Fig. 4

Chain of trust for a verification and validation system signing data with a digital signature

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Fig. 5

Example of (a) verification and validation (b) workflows to ensure the data meets a predefined level of quality (based on Ref. [7])

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Fig. 6

Verifying the chain of trust for a FAA DER signing data with a digital signature

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Fig. 7

Example of data usage rights controlling how the data must be used in a CAM system

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Fig. 8

Use case for digitally signing a design specification (e.g., CAD model) and exchanging the data with another data user

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Fig. 9

Use case for digitally signing a design specification (e.g., CAD model) and registering ownership and data exchange transactions in a blockchain

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Fig. 10

Product data management workflows for signing the data during a release cycle, change process, and import verification

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