Identifying food fraud using blockchain

F Fadhel, Nawfal, Chapman, Age and Wen Leung, Hoi (2021) Identifying food fraud using blockchain. In, Wills, Gary, Kacsuk, Peter and Chang, Victor (eds.) Proceedings of the 6th International Conference on Internet of Things, Big Data and Security. IoTBDS 2021 – 6th International Conference on Internet of Things, Big Data and Security (23/04/21 - 25/04/21) pp. 185-192. (doi:10.5220/0010423801850192).

Record type: Book Section

Abstract

Cross-contamination, counterfeit ingredients, false packaging, and labelling are all issues that contribute to food fraud which is a major concern undermining the integrity of the food supply chain and consumers health. Therefore, there is a need for an on-demand traceable, transparent food supply chain. This is a universal problem and blockchain presents itself as a means to maintain traceable, transparent food supply. This paper presents an innovative consensus algorithm and simulates the usage of it to identify the precision and recall of fraudulent food detection. This protocol aims to solve the issue of malicious leader node selection in common voting-based consensus protocols while achieving efficiency. Thus, providing a single version of truth for foods in a long food supply chain, preventing information asymmetries.

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