Enhancing Aspects of IIoT Networks with Federated Learning Blockchain Integrated Authentication Solution
DOI:
https://doi.org/10.62951/ijeemcs.v1i3.17Abstract
The Industrial Internet of Things (IIoT) faces various challenges in ensuring secure
communication, authentication, and data integrity due to its distributed nature and evolving
threat landscape. To address these issues, this paper proposes the integration of blockchain
authentication as a robust solution to enhance security and reliability in IIoT networks. By
leveraging Federated Learning with blockchain technology, the proposed solution aims to
improve authentication mechanisms by training models across multiple edge devices,
increasing fault tolerance, and adaptability while reducing the risk of single points of failure.
The use of blockchain technology ensures a tamper-proof and transparent ledger for securely
storing authentication data and model updates, enhancing security and integrity in IIoT
networks. The results and analysis demonstrate that the integration of Federated Learning and
blockchain technology effectively addresses interoperability issues, performance optimization
concerns, and security vulnerabilities within IIoT networks, offering a more efficient, secure,
and scalable authentication alternative.
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