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Title	Secure Crowdsourced Blockchain Computation Intelligence For Iot Systems
ID_Doc	47617
Authors	Zhang X.; Feng X.; Zhang H.; Mi B.; Chen K.
Year	2023
Published	Proceedings - IEEE International Conference on Mobile Data Management, 2023-July
DOI	http://dx.doi.org/10.1109/MDM58254.2023.00058
Abstract	With the rapid development of scientific and technological revolution, the Internet of Thing systems have been widely deployed in many vertical domains such as smart cities, smart grids, smart agriculture, smart medical healthcare, etc. In these scenarios, it is an urgent problem to provide a high-effect IoT solution to support high computation ability with strong data security and privacy constraints. In this paper, we propose a novel secure data computing platform based on blockchain crowdsourcing computation. Each data sample is transmitted to its private blockchain for secure data storage. To support a high computation ability, we present a powerful edge network constituted of nearby edge gateways, edge devices, etc. Thus, these data on the blockchain can be partitioned and allocated to these edge nodes in a crowdsourcing way. We also deploy different AI tools to meet the requirements of vertical applications. Finally, we evaluate our system performance with a real crowdsourced blockchain computation platform to show our effectiveness in vertical application, e.g., face detection. © 2023 IEEE.
Author Keywords	Blockchain; Edge Computing; Internet of Thing; Secure Crowdsourcing

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