Data tampering avoidance for food supply chain traceability system using blockchain technology

Nowadays, the globalization of modern retail markets is increasing, and the supply chain from producers to end users is increasing and becoming more and more important. It is not uncommon to produce products in China, which is packaged in the Indonesia and sold in Thailand. This produces many arg...

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Main Author: Rosli, Fahrulrazi
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/83869/
http://psasir.upm.edu.my/id/eprint/83869/1/FSKTM%202019%2042%20-%20IR.pdf
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author Rosli, Fahrulrazi
author_facet Rosli, Fahrulrazi
author_sort Rosli, Fahrulrazi
building UPM Institutional Repository
collection Online Access
description Nowadays, the globalization of modern retail markets is increasing, and the supply chain from producers to end users is increasing and becoming more and more important. It is not uncommon to produce products in China, which is packaged in the Indonesia and sold in Thailand. This produces many arguments, for instance is when the product failed to follow such guiding and any quality requirement. In these cases, it is vital to find entities or people that affected by the catastrophe and not only focusing to find the cause of the product failure. Therefore, companies must improve their ability to track products from producers to end consumers by focusing data integrity issues in both parties. Advanced data secure tracking systems is one of the advantage available because they provide effective response to product failures and reliable information for all stakeholders in term of the data integrity. Therefore, this study proposed a blockchain technology to be incorporated in the traditional traceability system to enhance the security of data transaction by adapting the security technique in the blockchain to increase the safety assurance of the data by having data tampering avoidance as one of the integrity aspects. The blockchain algorithm will be used to link each data that been inserted into the system to protect it from any attempt of data tampering such as unauthorized data modification. The results showed that the algorithm was able to preserve data integrity up to 100% accuracy.
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format Thesis
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institution Universiti Putra Malaysia
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language English
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publishDate 2019
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spelling upm-838692020-10-26T03:50:34Z http://psasir.upm.edu.my/id/eprint/83869/ Data tampering avoidance for food supply chain traceability system using blockchain technology Rosli, Fahrulrazi Nowadays, the globalization of modern retail markets is increasing, and the supply chain from producers to end users is increasing and becoming more and more important. It is not uncommon to produce products in China, which is packaged in the Indonesia and sold in Thailand. This produces many arguments, for instance is when the product failed to follow such guiding and any quality requirement. In these cases, it is vital to find entities or people that affected by the catastrophe and not only focusing to find the cause of the product failure. Therefore, companies must improve their ability to track products from producers to end consumers by focusing data integrity issues in both parties. Advanced data secure tracking systems is one of the advantage available because they provide effective response to product failures and reliable information for all stakeholders in term of the data integrity. Therefore, this study proposed a blockchain technology to be incorporated in the traditional traceability system to enhance the security of data transaction by adapting the security technique in the blockchain to increase the safety assurance of the data by having data tampering avoidance as one of the integrity aspects. The blockchain algorithm will be used to link each data that been inserted into the system to protect it from any attempt of data tampering such as unauthorized data modification. The results showed that the algorithm was able to preserve data integrity up to 100% accuracy. 2019-07 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/83869/1/FSKTM%202019%2042%20-%20IR.pdf Rosli, Fahrulrazi (2019) Data tampering avoidance for food supply chain traceability system using blockchain technology. Masters thesis, Universiti Putra Malaysia. Blockchains (Databases) Business logistics
spellingShingle Blockchains (Databases)
Business logistics
Rosli, Fahrulrazi
Data tampering avoidance for food supply chain traceability system using blockchain technology
title Data tampering avoidance for food supply chain traceability system using blockchain technology
title_full Data tampering avoidance for food supply chain traceability system using blockchain technology
title_fullStr Data tampering avoidance for food supply chain traceability system using blockchain technology
title_full_unstemmed Data tampering avoidance for food supply chain traceability system using blockchain technology
title_short Data tampering avoidance for food supply chain traceability system using blockchain technology
title_sort data tampering avoidance for food supply chain traceability system using blockchain technology
topic Blockchains (Databases)
Business logistics
url http://psasir.upm.edu.my/id/eprint/83869/
http://psasir.upm.edu.my/id/eprint/83869/1/FSKTM%202019%2042%20-%20IR.pdf