Hyperledger Fabric Blockchain-Based Approach towards Secured Port Weighbridge Systems

Modern ports operation relies on accurate weight measurement to ensure cargos are delivered with dependability and integrity. The weighbridges systems have been playing crucial roles in ensuring the revenue generation, honest trading, regulations compliance and operational accountability in ports. Nevertheless, conventional weighbridge systems have been tokenized, hacked, and nontransparent because of improper measures against the willful misrepresentation of the weights by brokers or even the sometimes-unauthorized access to the systems. Such drawbacks have led to financial losses, regulatory disturbances, and the trust of stakeholders is eroded. Hence, a novel blockchain-based approach has been introduced in this study, the proposed approach exploits Hyperledger Fabric framework to protect the weighbridge system data and preserve its immutability. The proposed approach also enables data tracking and auditing, thus providing port authorities and customs with a unique view of the data history, which in turn, leads to greater accountability. The proposed approach has been tested through experiments and the results reveal that Hyperledger Fabric effectively diminishes data hijack incidents, guarantees same data in all nodes, and produces full audit trails for verifiability.

Authors

Institutions

Publication Details

Journal
Journal of Computer and Communications
Published
2025-01-01
DOI
https://doi.org/10.4236/jcc.2025.135004
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hyperledger Fabric Blockchain-Based Approach towards Secured Port Weighbridge Systems

Othmar Othmar Mwambe, Nelson Zacharia, Nizetha D. Kimario, Isakwisa G. Tende
Journal of Computer and Communications
Blockchain Technology Applications and Security
article

Hyperledger Fabric Blockchain-Based Approach towards Secured Port Weighbridge Systems

Othmar Othmar Mwambe, Nelson Zacharia, Nizetha D. Kimario, Isakwisa G. Tende
article en

Abstract

Modern ports operation relies on accurate weight measurement to ensure cargos are delivered with dependability and integrity. The weighbridges systems have been playing crucial roles in ensuring the revenue generation, honest trading, regulations compliance and operational accountability in ports. Nevertheless, conventional weighbridge systems have been tokenized, hacked, and nontransparent because of improper measures against the willful misrepresentation of the weights by brokers or even the sometimes-unauthorized access to the systems. Such drawbacks have led to financial losses, regulatory disturbances, and the trust of stakeholders is eroded. Hence, a novel blockchain-based approach has been introduced in this study, the proposed approach exploits Hyperledger Fabric framework to protect the weighbridge system data and preserve its immutability. The proposed approach also enables data tracking and auditing, thus providing port authorities and customs with a unique view of the data history, which in turn, leads to greater accountability. The proposed approach has been tested through experiments and the results reveal that Hyperledger Fabric effectively diminishes data hijack incidents, guarantees same data in all nodes, and produces full audit trails for verifiability.

Journal of Computer and CommunicationsVol. 13(05)
Dar es Salaam Institute of Technology (TZ)
Openalex Percentile: Top 84%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.