Elkhodr, Mahmoud, Khan, Samiya ORCID: https://orcid.org/0000-0003-0837-5125 and Gide, Ergun (2024) A novel semantic IoT middleware for secure data management: blockchain and AI-driven context awareness. Future Internet, 16 (1). pp. 1-31. ISSN 1999-5903 (Online) (doi:10.3390/fi16010022)

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Abstract

In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring data security and user trust, is pivotal. This paper proposes a novel Semantic IoT Middleware (SIM) for healthcare. The architecture of this middleware comprises the following main processes: data generation, semantic annotation, security encryption, and semantic operations. The data generation module facilitates seamless data and event sourcing, while the Semantic Annotation Component assigns structured vocabulary for uniformity. SIM adopts blockchain technology to provide enhanced data security, and its layered approach ensures robust interoperability and intuitive user-centric operations for IoT systems. The security encryption module offers data protection, and the semantic operations module underpins data processing and integration. A distinctive feature of this middleware is its proficiency in service integration, leveraging semantic descriptions augmented by user feedback. Additionally, SIM integrates artificial intelligence (AI) feedback mechanisms to continuously refine and optimise the middleware’s operational efficiency.

Item Type:	Article
Additional Information:	This article belongs to the Special Issue Distributing Computing in the Internet of Things (IoT): Cloud, Fog and Edge Computing.
Uncontrolled Keywords:	Internet of Things (IoT); blockchain; artificial intelligence (AI); semantic annotation; data security; user-centric operations; healthcare
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	05 Mar 2024 09:48
URI:	http://gala.gre.ac.uk/id/eprint/46093

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