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Blockchain enabled authentication system for edge and fog computering

Year: 2025
Type: dissertation
Abstract: Low-cost IoT sensors are widely used but face significant challenges in data quality, scalability, reliability, and security, particularly in distributed edge and fog computing environments. While edge and fog computing aim to improve device performance and data analytics, they inherit limitations from cloud computing, making this environment vulnerable to attacks. Current authentication methods in these environments often struggle with resource consumption, scalability, and security issues. Existing blockchain-based solutions, such as those using ethereum, have shown promise in addressing some of these challenges. However, they still face limitations in transaction speed, energy efficiency, and scalability when applied to edge and fog computing environments. Furthermore, there is a lack of comprehensive approaches that integrate user-specific data for secure registration and authentication while maintaining efficiency in resource-constrained environments. This research addresses the gaps in edge and fog computing environments and explores the utilisation of blockchain technologies and their application in edge and fog authentication systems. The study focusses on overcoming the scalability and security limitations inherent in current edge and fog computing environments, with potential applications in 6G-enabled IoT environments. By investigating these areas, this research seeks to contribute to the understanding of authentication and privacy in decentralised edge and fog computing environments, potentially providing a framework for leveraging blockchain technologies to improve security, scalability, and efficiency in next-generation computing systems.
DOI: 10.5281/zenodo.15277134
Language: English
Open Access status: green
OpenAlex ID: W6912064873
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