Blockchain and AI Technology in Support of Transparent Navy Logistics and Global Supply Chains (Continuation)
Authors
Kendall, Walter A.
Das, Arijit
Advisors
Second Readers
Subjects
blockchain
logistics
workflow
federated learning
machine learning
ML
artificial intelligence
AI
logistics
workflow
federated learning
machine learning
ML
artificial intelligence
AI
Date of Issue
2021
Date
2021
Publisher
Monterey, California: Naval Postgraduate School
Monterey, California. Naval Postgraduate School.
Monterey, California. Naval Postgraduate School.
Language
en_US
Abstract
We leverage our previous work on how BC (blockchain) technology can maintain trusted audit trails through a distributed secure ledger. BC is a tamper-resistant decentralized database used in many security applications to provide proof of transaction with a secure distributed ledger where trust is implemented through distributed consensus decentralized policy enforcement. We employ a use case approach to investigate various permissioned enterprise blockchain products with a trusted distributed ledger where transactions are stored transparently on data blocks (blockchains) using Hyperledger Fabric (and associated tools). Previous research identified two promising enterprise blockchain products from Oracle and IBM which have the tools to develop applications for the "last mile" which is critical to any successful blockchain solution. However, any Hyperledger Fabric based system could also implemented if had the supporting infrastructure. The project would answer the following questions: What type of BC technology and general architecture would best meet the Navy's logistics/audit requirements that meet both security and other requirements? How can block chain technology reduce data entry errors in Navy business transactions? We will continue the potential workflow and supply chain applications for a permissioned based blockchain and explore the use of blockchain data as a source for analytics and machine learning. Additionally, will investigate process flow such as parts and food ordering for deployed naval forces and identify specific functions where operational security has the potential to be violated and look at such examples as food ordering practices in terms of security, integrity, and provenance of food or other items.
Type
Poster
Description
NPS NRP Project Poster
Series/Report No
Department
Information Sciences
Organization
Identifiers
NPS Report Number
Sponsors
N4 - Fleet Readiness & Logistics
Funding
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
