A Novel Blockchain Framework for Industrial IoT Edge Computing

Xu, Xuesong; Zeng, Zhi; Yang, Song; Shao, Hongyan

doi:10.3390/s20072061

Cited by 41 publications

(12 citation statements)

References 36 publications

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“…The edge devices also lack the authorisation and authentication capabilities and limited interoperability [ 146 ], which can be enabled by implementing blockchain technology. Although there are several research works e.g., reputation and trust integration model between IoT and fog/edge computing [ 147 ], a blockchain-based reputation model for each participating agents [ 148 ], the consortium blockchain proposal for efficient and secure knowledge trading in edge AI-enabled IoT [ 149 ], and lightweight blockchain framework using a dynamic trust algorithm in IIoT edge applications [ 150 ]. These proposals suggest the integration of IoT devices with edge computing while extending the capabilities of blockchain technology.…”

Section: Future Research Directionsmentioning

confidence: 99%

Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey

Shah

Ullah

et al. 2022

Sensors

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Internet of Things (IoT) devices are widely used in many industries including smart cities, smart agriculture, smart medical, smart logistics, etc. However, Distributed Denial of Service (DDoS) attacks pose a serious threat to the security of IoT. Attackers can easily exploit the vulnerabilities of IoT devices and control them as part of botnets to launch DDoS attacks. This is because IoT devices are resource-constrained with limited memory and computing resources. As an emerging technology, Blockchain has the potential to solve the security issues in IoT. Therefore, it is important to analyse various Blockchain-based solutions to mitigate DDoS attacks in IoT. In this survey, a detailed survey of various Blockchain-based solutions to mitigate DDoS attacks in IoT is carried out. First, we discuss how the IoT networks are vulnerable to DDoS attacks, its impact over IoT networks and associated services, the use of Blockchain as a potential technology to address DDoS attacks, in addition to challenges of Blockchain implementation in IoT. We then discuss various existing Blockchain-based solutions to mitigate the DDoS attacks in the IoT environment. Then, we classify existing Blockchain-based solutions into four categories i.e., Distributed Architecture-based solutions, Access Management-based solutions, Traffic Control-based solutions and the Ethereum Platform-based solutions. All the solutions are critically evaluated in terms of their working principles, the DDoS defense mechanism (i.e., prevention, detection, reaction), strengths and weaknesses. Finally, we discuss future research directions that can be explored to design and develop better Blockchain-based solutions to mitigate DDoS attacks in IoT.

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Section: Future Research Directionsmentioning

confidence: 99%

Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey

Shah

Ullah

et al. 2022

Sensors

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“…This way, data acquisition and exchange, as well as collaborative decision-making, are carried out through distributed computation in near-real-time [114]. Hence, efficient, intelligent, and decentralized solutions are available [115], allowing the interaction of multivendor devices through heterogeneous networks in an optimal manner [116], where a higher level of trust may be imposed by using blockchain technology [117]. It is to be remarked that Industry 4.0 is considered to be a new paradigm called the fourth industrial revolution, which the world is just coming into.…”

Section: Edge Computing Applicationsmentioning

confidence: 99%

Modeling of a Generic Edge Computing Application Design

Roig

Alcaraz

Gilly

et al. 2021

Sensors

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Edge computing applications leverage advances in edge computing along with the latest trends of convolutional neural networks in order to achieve ultra-low latency, high-speed processing, low-power consumptions scenarios, which are necessary for deploying real-time Internet of Things deployments efficiently. As the importance of such scenarios is growing by the day, we propose to undertake two different kind of models, such as an algebraic models, with a process algebra called ACP and a coding model with a modeling language called Promela. Both approaches have been used to build models considering an edge infrastructure with a cloud backup, which has been further extended with the addition of extra fog nodes, and after having applied the proper verification techniques, they have all been duly verified. Specifically, a generic edge computing design has been specified in an algebraic manner with ACP, being followed by its corresponding algebraic verification, whereas it has also been specified by means of Promela code, which has been verified by means of the model checker Spin.

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“…Resource-constrained edge devices with limited computing resources are not efficient in handling numerous transactions when integrated with huge resource consuming blockchain frameworks. The decentralized blockchain framework trust mechanisms will ensure trustworthiness in data from edge nodes [123].…”

Section: Drl-blockchain Aims To Provide Smart and Reliable Caching Co...mentioning

confidence: 99%

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

Gadekallu¹,

Pham²,

Nguyen³

et al. 2021

Preprint

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In recent years, blockchain networks have attracted significant attention in many research areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled by the combination of edge computing and the Internet of Things (IoT). In this context, blockchain networks enabled with unique features such as decentralization, immutability, and traceability, have the potential to reshape and transform the conventional EoT systems with higher security levels. Particularly, the convergence of blockchain and EoT leads to a new paradigm, called BEoT that has been regarded as a promising enabler for future services and applications. In this paper, we present a state-of-the-art review of recent developments in BEoT technology and discover its great opportunities in many application domains. We start our survey by providing an updated introduction to blockchain and EoT along with their recent advances. Subsequently, we discuss the use of BEoT in a wide range of industrial applications, from smart transportation, smart city, smart healthcare to smart home and smart grid. Security challenges in BEoT paradigm are also discussed and analyzed, with some key services such as access authentication, data privacy preservation, attack detection, and trust management. Finally, some key research challenges and future directions are also highlighted to instigate further research in this promising area.

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A Novel Blockchain Framework for Industrial IoT Edge Computing

Cited by 41 publications

References 36 publications

Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey

Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey

Modeling of a Generic Edge Computing Application Design

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

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