Internet of Things Applications

Elkhodr, Mahmoud; Shahrestani, Seyed; Cheung, Hon

doi:10.4018/978-1-5225-1832-7.ch015

Cited by 3 publications

(3 citation statements)

References 69 publications

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“…The IoT‐management platform (IoT‐MP) is a middle‐ware which has been proposed before in an earlier work . It offers a solution for the management of IoT devices over an IoT network.…”

Section: The Internet Of Things Management Platformmentioning

confidence: 99%

“…This status is also given to IoT devices which did not associate with a manager before. Recall from Elkhodr et al the IoT‐MP supports a distributed architecture whereas a MoM oversees several managers. Thus, a device can move from a manager's network to another manager's network through the MOMs association.…”

Section: Data Provenance Modulementioning

confidence: 99%

“…Thus, the potentially massive number of things, their diversity, and the seamless and heterogeneous nature of communications encountered in the IoT pose extraordinary challenges to security and privacy. The aggregation of the information, gathered from a large number of things and exchanged over various heterogeneous networks, can impinge on the security and privacy of the users . For instance, in the first quarter of 2018, the number of IoT malware has tripled in size .…”

Section: Introductionmentioning

confidence: 99%

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Data provenance and trust establishment in the Internet of Things

Elkhodr

Alsinglawi

2019

Security and Privacy

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The Internet of Things (IoT) is a network of heterogeneous networks encompassing various forms of communications form the current traditional communication models to ubiquitous and pervasive machine to machine communications. In such an ever expanding, dynamic, and complex environment, it becomes vital to know the origin or the source of data and whether this data can be trusted or no. This requires not only accurate, secure, and correct data collection processes; but also provisioning of data provenance throughout the life-cycle of an IoT device and the data it produces. To this end, this work introduces a provenance-based trust management solution, which provides a trust establishment mechanism amongst communicating devices in the IoT. It provides a way to quantitatively assess the trustworthiness of data supplied by a given IoT device. Thus, providing a novel solution to preserve data provenance of IoT devices. This IoT data provenance solution extends the capabilities of our previously proposed IoT platform known as the IoT-management platform, which aimed at preserving the privacy of users in the IoT. K E Y W O R D SInternet of Things, data provenance, privacy, trust 1 Security Privacy. 2020;3:e99.wileyonlinelibrary.com/journal/spy2

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“…The IoT‐management platform (IoT‐MP) is a middle‐ware which has been proposed before in an earlier work . It offers a solution for the management of IoT devices over an IoT network.…”

Section: The Internet Of Things Management Platformmentioning

confidence: 99%

Section: Data Provenance Modulementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Data provenance and trust establishment in the Internet of Things

Elkhodr

Alsinglawi

2019

Security and Privacy

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Mathematical and simulation analysis of contention resolution mechanism for IEEE 802.11ah networks

Gopinath¹,

Nithya²

2018

Computer Communications

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A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness

Elkhodr,

Khan,

Gide

2024

Future Internet

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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.

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Internet of Things Applications

Cited by 3 publications

References 69 publications

Data provenance and trust establishment in the Internet of Things

Data provenance and trust establishment in the Internet of Things

Mathematical and simulation analysis of contention resolution mechanism for IEEE 802.11ah networks

A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness

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