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


Rosli, Fahrulrazi (2019) Data tampering avoidance for food supply chain traceability system using blockchain technology. Masters thesis, Universiti Putra Malaysia.


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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Additional Metadata

Item Type: Thesis (Masters)
Subject: Blockchains (Databases)
Subject: Business logistics
Call Number: FSKTM 2019 42
Chairman Supervisor: Professor Dr. Zuriati Ahmad Zukarnain
Divisions: Faculty of Computer Science and Information Technology
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 26 Oct 2020 03:50
Last Modified: 26 Oct 2020 03:50
URI: http://psasir.upm.edu.my/id/eprint/83869
Statistic Details: View Download Statistic

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