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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 10, 2025.
Abstract: Safe vaccine storage hinges on continuous, trust-worthy temperature supervision and evidence that records have not been altered. Yet many cold rooms still rely on fragmented logging tools that lack real-time alerts, end-to-end traceability, and audit-ready data. This paper presents a practical, low-cost architecture that integrates Internet of Things (IoT) sensing with blockchain anchoring to deliver real-time monitoring and visibility, reliable anomaly detection, and tamper-evident provenance for cold-chain storage. The design couples minute-level telemetry and dashboarding with alert debouncing/hysteresis to reduce false alarms, while anchoring hourly summaries and event alerts on-chain to create a verifiable trail without exposing raw data or incurring recurring fees during experimentation. A prototype in a vaccine cold-room scenario demonstrates that the approach is simple to deploy on commodity hardware, scales by adding room-s/sensors, and produces operator-friendly notifications along-side independently verifiable records. This combination of edge retention and cryptographic anchoring provides a pragmatic path for pharmacies, clinics, and warehouses to upgrade from basic loggers to transparent, audit-ready monitoring, bridging operational needs (alerts) and compliance needs (provenance) in one system.
Mohamed DOUBIZ, Mouad BANANE, Abdelali ZAKRANI and Allae ERRAISSI. “Auditable Real-Time Cold-Chain Monitoring with IoT and Blockchain Anchoring”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.10 (2025). http://dx.doi.org/10.14569/IJACSA.2025.01610103
@article{DOUBIZ2025,
title = {Auditable Real-Time Cold-Chain Monitoring with IoT and Blockchain Anchoring},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.01610103},
url = {http://dx.doi.org/10.14569/IJACSA.2025.01610103},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {10},
author = {Mohamed DOUBIZ and Mouad BANANE and Abdelali ZAKRANI and Allae ERRAISSI}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.