A Blockchain Framework for Secure Task Sharing in Multi-Access Edge Computing

Rivera, Angelo Vera; Refaey, Ahmed; Hossain, Ekram

doi:10.1109/mnet.011.2000497

Cited by 37 publications

(19 citation statements)

References 11 publications

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“…In CoopEdge, the incentive mechanism is employed to motivate more edge servers to participate in processing the peer-offloaded tasks, and a proof-of-edgereputation (PoER) consensus mechanism is utilized such that the edge server with the highest reputation would be selected as a miner to add new blocks on blockchain. For the similar purpose, another blockchain-enabled incentive scheme for task sharing among edge servers in MEC environment is proposed in [109].…”

Section: A Blockchain-based Resource Management For Edge Computingmentioning

confidence: 99%

Integration of Blockchain and Edge Computing in Internet of Things: A Survey

Xue¹,

Chen²,

Zhang³

et al. 2022

Preprint

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As an important technology to ensure data security, consistency, traceability, etc., blockchain has been increasingly used in Internet of Things (IoT) applications. The integration of blockchain and edge computing can further improve the resource utilization in terms of network, computing, storage, and security. This paper aims to present a survey on the integration of blockchain and edge computing. In particular, we first give an overview of blockchain and edge computing. We then present a general architecture of an integration of blockchain and edge computing system. We next study how to utilize blockchain to benefit edge computing, as well as how to use edge computing to benefit blockchain. We also discuss the issues brought by the integration of blockchain and edge computing system and solutions from perspectives of resource management, joint optimization, data management, computation offloading and security mechanism. Finally, we analyze and summarize the existing challenges posed by the integration of blockchain and edge computing system and the potential solutions in the future.

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Section: A Blockchain-based Resource Management For Edge Computingmentioning

confidence: 99%

Integration of Blockchain and Edge Computing in Internet of Things: A Survey

Xue¹,

Chen²,

Zhang³

et al. 2022

Preprint

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“…Due to the distribution of Fog nodes and its closeness to IoT devices, centralized control system like what we have in the Cloud is not possible. Therefore, new innovative techniques and solutions are required to enhance IoT users and data privacy in the Fog environment 24,123,124 such as using the blockchain technology 26,27,125‐128 . This section discusses the recommendations and future opportunities to mitigate this issue.…”

Section: Rq3—challenges and Future Directionsmentioning

confidence: 99%

“…Therefore, new innovative techniques and solutions are required to enhance IoT users and data privacy in the Fog environment 24,123,124 such as using the blockchain technology. 26,27,[125][126][127][128] This section discusses the recommendations and future opportunities to mitigate this issue.…”

Section: Iot Device Privacymentioning

confidence: 99%

Fog computing security and privacy for the Internet of Thing applications: State‐of‐the‐art

Alzoubi

Osmanaj

Jaradat

et al. 2020

Security and Privacy

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Fog nodes are implemented near to end‐users Internet of Things (IoT) devices, which mitigate the impact of low latency, location awareness, and geographic distribution unsupported features of many IoT applications. Moreover, Fog computing decreases the data offload into the Cloud, which decreases the response time. Despite these benefits, Fog computing faces many challenges in meeting security and privacy requirements. These challenges occur due to the limitations of Fog computing resources. In fact, Fog computing may add new security and privacy issues. Although many papers have discussed the Fog security and privacy issues recently, most of these papers have discussed these issues at a very high level. This paper provides a comprehensive understanding of Fog privacy and security issue. In this survey, we review the literature on Fog computing to draw the state‐of‐the‐art of the security and privacy issues raised by Fog computing. The findings of this survey reveal that studying Fog computing is still in its infant stage. Many questions are yet to be answered to address the privacy and security challenges of Fog computing.

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“…Integration of blockchain technologies in a MEC-enabled IoT ecosystem will provide an effective means to overcome a number of IoT challenges, including trust provisioning, traceability, immutability, device management, network access control, and accountability of actions. A blockchain-IoT-MEC ecosystem will enable distributed large-scale deployment of tracking and monitoring technologies in healthcare systems [14]. • AR-IoT-MEC: Augmented reality will enable the production of new IoT-based healthcare services.…”

Section: Learning Model and Experimentsmentioning

confidence: 99%