2019
DOI: 10.24251/hicss.2019.849
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Pushing Software-Defined Blockchain Components onto Edge Hosts

Abstract: With the advent of blockchain technology, some management tasks of IoT networks can be moved from central systems to distributed validation authorities. Cloud-centric blockchain implementations for IoT have shown satisfactory performance. However, some features of blockchain are not necessary for IoT. For instance, a competitive consensus. This research presents the idea of customizing and encapsulating the features of blockchain into software-defined components to host them on edge devices. Thus, blockchain r… Show more

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Cited by 8 publications
(2 citation statements)
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“…Samaniego and Deters [151] presented a novel idea which proposed to encapsulate the features of blockchain, including smart contracts in software-defined components and distribute them towards edge devices. The smart contracts are deployed in deices called edge miners.…”
Section: Smart Contracts In Edge Computingmentioning
confidence: 99%
“…Samaniego and Deters [151] presented a novel idea which proposed to encapsulate the features of blockchain, including smart contracts in software-defined components and distribute them towards edge devices. The smart contracts are deployed in deices called edge miners.…”
Section: Smart Contracts In Edge Computingmentioning
confidence: 99%
“…However, due to the privacy issue in the medical domain [38], the provided datasets are not large enough to sufficiently train a CNN [15]. Recently, blockchain technology has been foreseen as a solution in the area of healthcare for secure data ownership management of electronic medical data or medical IoT devices [33,34]. Aiming to tackle this challenge, a transfer learning strategy has been widely investigated to exploit the knowledge learned from cross domains instead of training a model from scratch with randomly initialized weights.…”
Section: Feature Extraction Using Transfer Learningmentioning
confidence: 99%