Connecting supplier and DoD blockchains for transparent part tracking Article Swipe
Francis Asuncion
,
Adam Brinckman
,
Dwayne Cole
,
Jeffrey H. Curtis
,
Matt Davis
,
Timothy Dunlevy
,
Calvin Farmer
,
Andrew Harrison
,
Daniel P. Johnson
,
Joshua Joyce
,
Chris Klubertanz
,
Jonathan Lane
,
John Paul Martin
,
Jarek Nabrzyski
,
Joel Neidig
,
Deysi Olivares
,
Gregory Robinson
,
Gabriel Rodriguez
,
Chris Root
,
Karen Rowand
,
Al Salour
,
Jeff Score
,
D. Scott
,
Ian Taylor
,
Chandler Thompson
,
Huy Truong Quang
,
Wang Xi-qun
,
Dale Warren
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.bcra.2021.100017
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.bcra.2021.100017
Blockchains have been around for more than ten years, and since 2015, a plethora of systems have been launched to target more flexible use cases. More recently, several enterprise blockchain systems, such as Consensys Quorum and Hyperledger Fabric, have been launched to make blockchain simpler to apply in complex organizational configurations. In this paper, we identify a specific Department of Defense use case, extrapolate requirements, and perform a thorough assessment of the different layers of the blockchain stack to identify the existing state of the art and undertake a gap analysis of the technology for this context. We describe a platform that meets many of these challenges and show how we architected, designed, and implemented a solution for this use case for deployment at NAVAIR. This solution connects transactions from two separate blockchain systems, Consensys Quorum and Hyperledger Fabric, by using a graph-based approach that preserves privacy while enabling full transparency across the military and supplier networks.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.bcra.2021.100017
- OA Status
- gold
- Cited By
- 10
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3176467514
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3176467514Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.bcra.2021.100017Digital Object Identifier
- Title
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Connecting supplier and DoD blockchains for transparent part trackingWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-06-24Full publication date if available
- Authors
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Francis Asuncion, Adam Brinckman, Dwayne Cole, Jeffrey H. Curtis, Matt Davis, Timothy Dunlevy, Calvin Farmer, Andrew Harrison, Daniel P. Johnson, Joshua Joyce, Chris Klubertanz, Jonathan Lane, John Paul Martin, Jarek Nabrzyski, Joel Neidig, Deysi Olivares, Gregory Robinson, Gabriel Rodriguez, Chris Root, Karen Rowand, Al Salour, Jeff Score, D. Scott, Ian Taylor, Chandler Thompson, Huy Truong Quang, Wang Xi-qun, Dale WarrenList of authors in order
- Landing page
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https://doi.org/10.1016/j.bcra.2021.100017Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.bcra.2021.100017Direct OA link when available
- Concepts
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Transparency (behavior), Blockchain, Software deployment, Computer science, Context (archaeology), Computer security, Software engineering, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 4, 2023: 1, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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6Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.years, | 8 |
| abstract_inverted_index.Defense | 60 |
| abstract_inverted_index.Fabric, | 37, 138 |
| abstract_inverted_index.NAVAIR. | 124 |
| abstract_inverted_index.complex | 48 |
| abstract_inverted_index.perform | 66 |
| abstract_inverted_index.privacy | 146 |
| abstract_inverted_index.several | 27 |
| abstract_inverted_index.simpler | 44 |
| abstract_inverted_index.systems | 15 |
| abstract_inverted_index.analysis | 90 |
| abstract_inverted_index.approach | 143 |
| abstract_inverted_index.connects | 127 |
| abstract_inverted_index.context. | 96 |
| abstract_inverted_index.describe | 98 |
| abstract_inverted_index.enabling | 148 |
| abstract_inverted_index.existing | 81 |
| abstract_inverted_index.flexible | 22 |
| abstract_inverted_index.identify | 55, 79 |
| abstract_inverted_index.launched | 18, 40 |
| abstract_inverted_index.military | 153 |
| abstract_inverted_index.platform | 100 |
| abstract_inverted_index.plethora | 13 |
| abstract_inverted_index.separate | 131 |
| abstract_inverted_index.solution | 116, 126 |
| abstract_inverted_index.specific | 57 |
| abstract_inverted_index.supplier | 155 |
| abstract_inverted_index.systems, | 30, 133 |
| abstract_inverted_index.thorough | 68 |
| abstract_inverted_index.Consensys | 33, 134 |
| abstract_inverted_index.designed, | 112 |
| abstract_inverted_index.different | 72 |
| abstract_inverted_index.networks. | 156 |
| abstract_inverted_index.preserves | 145 |
| abstract_inverted_index.recently, | 26 |
| abstract_inverted_index.undertake | 87 |
| abstract_inverted_index.Department | 58 |
| abstract_inverted_index.assessment | 69 |
| abstract_inverted_index.blockchain | 29, 43, 76, 132 |
| abstract_inverted_index.challenges | 106 |
| abstract_inverted_index.deployment | 122 |
| abstract_inverted_index.enterprise | 28 |
| abstract_inverted_index.technology | 93 |
| abstract_inverted_index.Blockchains | 0 |
| abstract_inverted_index.Hyperledger | 36, 137 |
| abstract_inverted_index.extrapolate | 63 |
| abstract_inverted_index.graph-based | 142 |
| abstract_inverted_index.implemented | 114 |
| abstract_inverted_index.architected, | 111 |
| abstract_inverted_index.transactions | 128 |
| abstract_inverted_index.transparency | 150 |
| abstract_inverted_index.requirements, | 64 |
| abstract_inverted_index.organizational | 49 |
| abstract_inverted_index.configurations. | 50 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 28 |
| citation_normalized_percentile.value | 0.88615099 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |