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Title	A Scalable Architecture For Monitoring Iot Devices Using Ethereum And Fog Computing
ID_Doc	4396
Authors	Tahmasebi S.; Habibi J.; Shamsaie A.
Year	2020
Published	Proceeding of 4th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2020
DOI	http://dx.doi.org/10.1109/SCIOT50840.2020.9250193
Abstract	With recent considerable developments in the Internet of Things (IoT), billions of resource-constrained devices are interconnected through the Internet. Monitoring this huge number of IoT devices which are heterogeneous in terms of underlying communication protocols and data format is challenging. The majority of existing IoT device monitoring solutions heavily rely on centralized architectures. Since using centralized architectures comes at the expense of trusting an authority, it has several inherent drawbacks, including vulnerability to security attacks, lack of data privacy, and unauthorized data manipulation. Hence, a new decentralized approach is crucial to remedy these drawbacks. One of the most promising technologies which is widely used to provide decentralization is blockchain. Additionally, to ease the burden of communication overhead and computational power on resource-constrained IoT devices, fog computing can be exploited to decrease communication latency and provide better network scalability. In this paper, we propose a scalable blockchain-based architecture for monitoring IoT devices using fog computing. To demonstrate the feasibility and usability of the proposed solution, we have implemented a proof-of-concept prototype, leveraging Ethereum smart contracts. Finally, a comprehensive evaluation is conducted. The evaluation results indicate that the proposed solution is significantly scalable and compatible with resource-constrained IoT devices. © 2020 IEEE.
Author Keywords	blockchain; device monitoring; ethereum; fog; Internet of things; ipfs; smart contract

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