An end-to-end bidirectional authentication system for pallet pooling management through blockchain internet of things (BIoT)

Wen Long, C. H. Wu, Y. P. Tsang, Qiyang Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review


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.

Original languageEnglish
Pages (from-to)1-25
Number of pages25
JournalJournal of Organizational and End User Computing
Issue number6
Publication statusPublished - 1 Nov 2021


  • Authentication
  • Blockchain
  • Computer Vision
  • Internet of Things
  • Pallet Pooling

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Science Applications
  • Strategy and Management

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