Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29234
Title: A Real-Time Secure-Based Oil and Gas Supply Chain Management using Blockchain
Authors: Gumut, Gabriel
Umar, Buhari Ugbede
Abdullahi, Ibrahim Mohammed
Ajao, Lukman Adewale
Olaniyi, Olayemi Mikail
Adeniyi, Samuel
Keywords: Blockchain Technology, Telematics, Petroleum Product Tracking, Supply Chain Optimization, Smart Contracts, Data Security
Issue Date: 2024
Abstract: The security of petroleum product supply chains is essential to mitigate issues such as theft, diversion, hijacking, confidentiality breaches, and privacy violations during the supply chain processes. This study presents a real-time secure-based oil and gas supply chain management system that tracks information using blockchain technology. By integrating telematics with the Ethereum blockchain, the system ensures adequate tracking and secures product distribution information, enhancing transparency and operational efficiency. Key features include smart contracts for automated transaction logging, secure data transmission, and immutable ledger entries. The system's performance was rigorously validated through simulations, demonstrating its effectiveness in real-time data acquisition and secure data management. Prospect and Recommendations: This integration of blockchain technology and IoT fosters data confidentiality and immutability, enhancing trust among stakeholders in the petroleum industry. Future work should explore the scalability of the system, particularly when applied to larger and more complex supply chains. Further integration with advanced IoT sensors and predictive analytics could improve system accuracy and provide predictive maintenance capabilities. This study recommends deploying the system in environments with high theft risks and monitoring its long-term performance to validate its robustness and reliability under real-world conditions.
URI: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29234
Appears in Collections:Computer Engineering

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