TY - JOUR
T1 - An end-to-end bidirectional authentication system for pallet pooling management through blockchain internet of things (BIoT)
AU - Long, Wen
AU - Wu, C. H.
AU - Tsang, Y. P.
AU - Chen, Qiyang
N1 - Funding Information:
The work described in this paper was partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS14/E06/20); and a matching grant from the University Grants Committee of the Hong Kong Special Administrative Region, China (RMGS Project No. 700005). The authors would like to thank Big Data Intelligence Centre and Department of SCM, The Hang Seng University of Hong Kong, and Department of ISE, Hong Kong Polytechnic University for supporting the research.
Publisher Copyright:
© 2021 Editions Eres. All rights reserved.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - Pallet pooling is regarded as a sustainable and cost-effective measure for the industry, but it is challenging to advocate due to weak data and pallet authentication. In order to establish trust between end-users and pallet pooling services, the authors propose an end-to-end, bidirectional authentication system for transmitted data and pallets based on blockchain and internet-of-things (IoT) technologies. In addition, secure data authentication fosters the pallet authenticity in the whole supply chain network, which is achieved by considering the tag, location, and object-specific features. To evaluate the object-specific features, the scale invariant feature transform (SIFT) approach is adopted to match key-points and descriptors between two pallet images. According to the case study, it is found that the proposed system provides a low bandwidth blocking rate and a high probability of restoring complete data payloads. Consequently, positive influences on end-user satisfaction, quality of service, operational errors, and pallet traceability are achieved through the deployment of the proposed system.
AB - Pallet pooling is regarded as a sustainable and cost-effective measure for the industry, but it is challenging to advocate due to weak data and pallet authentication. In order to establish trust between end-users and pallet pooling services, the authors propose an end-to-end, bidirectional authentication system for transmitted data and pallets based on blockchain and internet-of-things (IoT) technologies. In addition, secure data authentication fosters the pallet authenticity in the whole supply chain network, which is achieved by considering the tag, location, and object-specific features. To evaluate the object-specific features, the scale invariant feature transform (SIFT) approach is adopted to match key-points and descriptors between two pallet images. According to the case study, it is found that the proposed system provides a low bandwidth blocking rate and a high probability of restoring complete data payloads. Consequently, positive influences on end-user satisfaction, quality of service, operational errors, and pallet traceability are achieved through the deployment of the proposed system.
KW - Authentication
KW - Blockchain
KW - Computer Vision
KW - Internet of Things
KW - Pallet Pooling
UR - http://www.scopus.com/inward/record.url?scp=85121144703&partnerID=8YFLogxK
U2 - 10.4018/JOEUC.290349
DO - 10.4018/JOEUC.290349
M3 - Article
AN - SCOPUS:85121144703
SN - 1546-2234
VL - 33
SP - 1
EP - 24
JO - Journal of Organizational and End User Computing
JF - Journal of Organizational and End User Computing
IS - 6
ER -