2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) 2019
DOI: 10.1109/cyberc.2019.00045
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Implementing an Asset Trading System Based on Blockchain and Game Theory

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Cited by 5 publications
(2 citation statements)
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“…The consortium approach also adds the necessary trust between entities in the app market, since no one fully controls the network, or can temper the data unnoticeable. Some works already demonstrate the usefulness of such approach [4], where the authors used a consortium blockchain for asset trading, combined with a common database. Here, the reputation is computed inside the network, on a smart contract.…”
Section: Related Work and Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…The consortium approach also adds the necessary trust between entities in the app market, since no one fully controls the network, or can temper the data unnoticeable. Some works already demonstrate the usefulness of such approach [4], where the authors used a consortium blockchain for asset trading, combined with a common database. Here, the reputation is computed inside the network, on a smart contract.…”
Section: Related Work and Backgroundmentioning
confidence: 99%
“…A new approach to this problem is to relate the multiple actions of millions of users and thousands of developers (reputation events), such as ratings, comments, or app uploads, to a degree of trust, and use that found reputation in the cybersecurity processes, to provide trustworthy and relevant decision support to the quality assurance [QA] and security teams. Moreover, such approach could benefit both the developers, as they could switch between different markets while keeping their reputation, and consumers, as it makes it easier for them to trust a new developer, which significantly increases the content quality of all app stores, having a direct impact in their revenue, a practice widely adopted on ecommerce platforms, such as Amazon or e-Bay, among several others [4], [5].…”
mentioning
confidence: 99%