Ramandeep, Ramandeep (2025) IoT Device Security for Supply Chain. Masters thesis, Dublin, National College of Ireland.
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Abstract
In an era of digital innovation, protecting real-time data in industrial Internet of Things(IoT) settings is of utmost importance. The project introduces a blockchain-based framework for safe robotic arm operations within supply chain automation. The solution brings together three layered elements: machine-to-machine (M2M) authentication withAuth0 and JWT tokens, AES-based encryption for sensor and operational information, and immutable logging through Ethereum smart contracts. Built with Next.js, Solidity, and Ganache, the platform provides confidentiality of data, authorization control, and auditability. Real-time interactions were emulated from live device data and tested against typical attacks without any severe vulnerabilities found using OWASP ZAP. MetaMask was also implemented for safe transaction signing. The indicated architecture offers a scalable platform for traceable, tamper-resistant robotic actions and lays the groundwork for adding AI-based anomaly detection and deployment on public blockchains in subsequent versions.
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