Identifying Food Fraud using Blockchain

Hoi Leung, Adriane Chapman, Nawfal Fadhel

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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Paper Citation


in Harvard Style

Leung H., Chapman A. and Fadhel N. (2021). Identifying Food Fraud using Blockchain. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-504-3, pages 185-192. DOI: 10.5220/0010423801850192


in Bibtex Style

@conference{iotbds21,
author={Hoi Leung and Adriane Chapman and Nawfal Fadhel},
title={Identifying Food Fraud using Blockchain},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2021},
pages={185-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010423801850192},
isbn={978-989-758-504-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Identifying Food Fraud using Blockchain
SN - 978-989-758-504-3
AU - Leung H.
AU - Chapman A.
AU - Fadhel N.
PY - 2021
SP - 185
EP - 192
DO - 10.5220/0010423801850192