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Gyamfi, Eric, Ansere, James Adu, Kamal, Mohsin, Jan, Mian Ahmad, Song, Houbing and Tariq, Muhammad (2025) A Federated Blockchain Security for MEC-enabled IoT Networks in Industrial 5.0. IEEE Transactions on Network Science and Engineering. ISSN 23274697
Full text not available from this repository.Abstract
Secure communication is vital for the Industrial Internet of Things (IIoT) in the fifth revolution. However, resource constraints of most IIoT devices prevent the use of conventional security models. Multi-access mobile edge computing (MEC) offers a solution by bringing computational resources closer to the network edge, but centralized security solutions limit scalability and flexibility in MEC-enabled IIoT systems. Additionally, the distributed nature of MEC servers poses data privacy and security challenges. This paper introduces a novel network security approach for IIoT using federated blockchain (FB) and a machine learning-based verification system (ML). MEC optimizes the FB model, ensuring data integrity and confidentiality between the IIoT's local network cluster and external devices. Public key cryptography secures data shared within the local network cluster, and the ML-based verification model validates IIoT devices requesting encryption key-pair updates and joining the MEC's FB. This integrated approach surpasses conventional security solutions by enhancing scalability, data privacy, and adaptability to the evolving IIoT network topology. The methodology is implemented and evaluated using a realistic IoT testbed, demonstrating improved network security while maintaining MEC-enabled IIoT system performance and scalability.
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