Fog Computing and Blockchain for Massive IoT Deployment

Baouya, Abdelhakim; Chehida, Salim; Bensalem, Saddek; Bozga, Marius

doi:10.1109/meco49872.2020.9134098

Cited by 9 publications

(3 citation statements)

References 12 publications

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“…This approach is based on a service discovery system that is built using multilayered hierarchical BC. Accordingly, the BC process should be converted to a more competent layer, such as the fog layer [22,128,139,142], edge and cloud layers [5,12,146], cloud layer [130], or SDN layer [30,94]. Li et al [106] proposed a multilayered IoT design that aimed to reduce the complexity of BC deployment by establishing multiple layers in the IoT ecosystem and employing one BC at each level.…”

Section: Biot Architecturementioning

confidence: 99%

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Internet of Things and Blockchain Integration: Security, Privacy, Technical, and Design Challenges

et al. 2022

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The Internet of things model enables a world in which all of our everyday devices can be integrated and communicate with each other and their surroundings to gather and share data and simplify task implementation. Such an Internet of things environment would require seamless authentication, data protection, stability, attack resistance, ease of deployment, and self-maintenance, among other things. Blockchain, a technology that was born with the cryptocurrency Bitcoin, may fulfill Internet of things requirements. However, due to the characteristics of both Internet of things devices and Blockchain technology, integrating Blockchain and the Internet of things can cause several challenges. Despite a large number of papers that have been published in the field of Blockchain and the Internet of things, the problems of this combination remain unclear and scattered. Accordingly, this paper aims to provide a comprehensive survey of the challenges related to Blockchain–Internet of things integration by evaluating the related peer-reviewed literature. The paper also discusses some of the recommendations for reducing the effects of these challenges. Moreover, the paper discusses some of the unsolved concerns that must be addressed before the next generation of integrated Blockchain–Internet of things applications can be deployed. Lastly, future trends in the context of Blockchain–Internet of things integration are discussed.

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Section: Biot Architecturementioning

confidence: 99%

“…Lastly, due to its tamper-proof design and safe storage, BC may enable the secure release of software updates to IoT devices. Despite all of the above advantages, BIoT integration may pose several challenges [3,[19][20][21][22][23]. Mission-critical situations, in particular, raise additional questions.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things and Blockchain Integration: Security, Privacy, Technical, and Design Challenges

et al. 2022

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“…Blockchain technology has been used to provide trusted, immutable, and fully decentralized data management in FC systems [11,12,43]. The integration of Blockchain and FC aims mainly data management and authentication control.…”

Section: Functionalmentioning

confidence: 99%

Fog Computing Platforms for Smart City Applications: A Survey

Silva

Batista

Lopes

et al. 2022

ACM Trans. Internet Technol.

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Emerging IoT applications with stringent requirements on latency and data processing have posed many challenges to cloud-centric platforms for Smart Cities. Recently, Fog Computing has been advocated as a promising approach to support such new applications and handle the increasing volume of IoT data and devices. The Fog Computing paradigm is characterized by a horizontal system-level architecture where devices close to end-users and IoT devices are used for processing, storage, and networking functions. Fog Computing platforms aim to facilitate the development of applications and systems for Smart Cities by providing services and abstractions designed to integrate data from IoT devices and various information systems deployed in the city. Despite the potential of the Fog Computing paradigm, the literature still lacks a broad, comprehensive overview of what has been investigated on the use of such paradigm in platforms for Smart Cities and open issues to be addressed in future research and development. In this paper, a systematic mapping study was performed and we present a comprehensive understanding of the use of the Fog Computing paradigm in Smart Cities platforms, providing an overview of the current state of research on this topic, and identifying important gaps in the existing approaches and promising research directions.

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