A Systematic TOGAF-Driven Framework for Blockchain-Based Food Traceability with Access Control Lists

Citation

Oak Kyaw Zaw, Thein and Sonai Muthu Anbananthen, Kalaiarasi and Muthaiyah, Saravanan and Balasubramaniam, Baarathi and Kannan, Rajkumar and Kalid, Khairul Shafee and Yusoff, Yunus and Mohammad, Suraya (2025) A Systematic TOGAF-Driven Framework for Blockchain-Based Food Traceability with Access Control Lists. HighTech and Innovation Journal, 6 (2). pp. 461-475. ISSN 2723-9535

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Abstract

The global food supply chain involves multiple stakeholders, including farmers, manufacturers, distributors, retailers, and consumers, requiring a robust traceability system to ensure food security, transparency, and consumer trust. However, existing systems face significant challenges, such as limitedtransparency, data tampering risks, and inefficient access control mechanisms, leading to supply chain inefficiencies and regulatory concerns. This framework paper develops a systematic model that integrates The Open Group Architecture Framework (TOGAF), blockchain technology, and Access Control Lists (ACLs) to address these limitations. The TOGAF Architecture Development Method (ADM) is applied to design and implement the framework, focusing on business architecture, data security, and stakeholder collaboration. The framework ensures data immutability, privacy, and secure access control while enhancing scalability and adaptability across diverse supply chains. By integrating these technologies, the proposed framework is expected to enhance traceability, strengthen data security, and improve stakeholder engagement, making food supply chains more reliable and transparent for regulators and consumers. The novelty of this framework lies in its unique integration of TOGAF-driven enterprise architecture, blockchain, and ACLs, creating a privacy-preserving, tamper-proof food traceability system. This integration enhances industry practices and provides a scalable, sustainable solution, contributing to global food security and consumer trust

Item Type: Article
Uncontrolled Keywords: Blockchain
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Faculty of Management (FOM)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 27 Aug 2025 01:58
Last Modified: 03 Sep 2025 07:07
URII: http://shdl.mmu.edu.my/id/eprint/14411

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