Document Type
Article
Publication Date
11-1-2021
Journal / Book Title
Journal of Organizational and End User Computing
Abstract
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.
DOI
10.4018/JOEUC.290349
MSU Digital Commons Citation
Long, Wen; Wu, C. H.; Tsang, Y. P.; and Chen, Qiyang, "An end-to-end bidirectional authentication system for pallet pooling management through blockchain internet of things (BIoT)" (2021). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 171.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/171
Rights
This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/)
Published Citation
Long, W., Wu, C. H., Tsang, Y. P., & Chen, Q. (2021). An End-to-End Bidirectional Authentication System for Pallet Pooling Management Through Blockchain Internet of Things (BIoT). Journal of Organizational and End User Computing (JOEUC), 33(6), 1-25. https://doi.org/10.4018/JOEUC.290349