Paper Info
Title
Blockchain-Enabled Fish Provenance and Quality Tracking System
Abstract
Accurate assessment of fish quality is difficult in practice due to the lack of trusted fish provenance and quality tracking information. Working with Sydney Fish Market (SFM), we develop a Blockchain-enabled fish provenance and quality tracking (BeFAQT) system. A multilayer Blockchain architecture based on attribute-based encryption (ABE) is proposed to tackle the privacy issue caused by applying Blockchain to secure supply chain data and achieve trusted and confidential data sharing among parties in fish supply chains. An Internet-of-Things (IoT) chain saves encrypted fish provenance and quality tracking data, and an ABE chain is specifically designed for the access control to the data in the IoT chain. Latest IoT and artificial intelligence (AI) technologies, including NarrowBand-IoT, image processing, and biosensing, are developed for fish origin proof, supply chain tracking, and objective fish quality assessment. As proven by field trials with SFM and a local fish supply chain, the BeFAQT is able to provide trusted and comprehensive fish provenance and quality tracking information in real time.
Year
DOI
Venue
2022
10.1109/JIOT.2021.3109313
IEEE Internet of Things Journal
Keywords
DocType
Volume
Access control,blockchain,electronic nose (E-nose),fish supply chain,image processing,Internet of Things (IoT)
Journal
9
Issue
ISSN
Citations 
11
2327-4662
0
PageRank 
References 
Authors
0.34
11
15
Name
Order
Citations
PageRank
Xu Wang1459.39
Guangsheng Yu2164.05
Ren Ping Liu349862.73
Jian Zhang41305100.05
Qiang Wu530440.42
Steven W. Su684.63
Ying He7208.39
Zongjian Zhang800.68
Litao Yu911.70
Shari L. Forbes1022.12
Wentian Zhang1100.34
Peter Loneragan1200.34
Eryk Dutkiewicz13891122.78
Erik Poole1400.34
Nick Paton1500.34