Blockchain for logistics tracking and anti-counterfeit protection

Despite being popularized by Bitcoin, blockchain constitutes to a larger research field of distributed computing systems. In distributed systems, a trust-less network of computational nodes can synchronize on a consistent set of data without the need for a central authority. With Industry 4.0, larg...

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Main Author: Wong, Venesa Baohe
Other Authors: School of Electrical and Electronic Engineering
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/136903
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1369032023-07-07T18:03:30Z Blockchain for logistics tracking and anti-counterfeit protection Wong, Venesa Baohe School of Electrical and Electronic Engineering Tan Chee Wah Wesley wesleytan@ntu.edu.sg Engineering::Electrical and electronic engineering Despite being popularized by Bitcoin, blockchain constitutes to a larger research field of distributed computing systems. In distributed systems, a trust-less network of computational nodes can synchronize on a consistent set of data without the need for a central authority. With Industry 4.0, large amounts of data are produced within supply chains between their facilities and production lines in order to evaluate efficiencies and enhance automation. As such, there is an increasing need to validate datasets provided by the different vendors in the supply chain ecosystem and store the data in an efficient and secure manner. The blockchain would be useful in verifying these datasets via consensus algorithms on the network while maintaining the integrity of the data stored via cryptographic hash functions. This also ensures traceability of the manufactured products within supply chains. Bachelor of Engineering (Information Engineering and Media) 2020-02-05T01:25:50Z 2020-02-05T01:25:50Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/136903 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Wong, Venesa Baohe
Blockchain for logistics tracking and anti-counterfeit protection
description Despite being popularized by Bitcoin, blockchain constitutes to a larger research field of distributed computing systems. In distributed systems, a trust-less network of computational nodes can synchronize on a consistent set of data without the need for a central authority. With Industry 4.0, large amounts of data are produced within supply chains between their facilities and production lines in order to evaluate efficiencies and enhance automation. As such, there is an increasing need to validate datasets provided by the different vendors in the supply chain ecosystem and store the data in an efficient and secure manner. The blockchain would be useful in verifying these datasets via consensus algorithms on the network while maintaining the integrity of the data stored via cryptographic hash functions. This also ensures traceability of the manufactured products within supply chains.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wong, Venesa Baohe
format Final Year Project
author Wong, Venesa Baohe
author_sort Wong, Venesa Baohe
title Blockchain for logistics tracking and anti-counterfeit protection
title_short Blockchain for logistics tracking and anti-counterfeit protection
title_full Blockchain for logistics tracking and anti-counterfeit protection
title_fullStr Blockchain for logistics tracking and anti-counterfeit protection
title_full_unstemmed Blockchain for logistics tracking and anti-counterfeit protection
title_sort blockchain for logistics tracking and anti-counterfeit protection
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/136903
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