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https://hdl.handle.net/10356/156603
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tan, Jeremiah Shi Jie | en_US |
dc.date.accessioned | 2022-04-21T02:28:25Z | - |
dc.date.available | 2022-04-21T02:28:25Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Tan, J. S. J. (2022). Quantitative analysis of smart contracts (fairness). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156603 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/156603 | - |
dc.description.abstract | A smart contract is a program that runs on the Ethereum blockchain. Users can define rules and the smart contract automatically enforces these rules and sends transactions over the network. Smart contracts are autonomous, fast and accurate. Smarts contracts have a variety of use cases, such as financial services, auctions and non-fungible tokens (NFTs). In this report, we will be focusing on voting smart contracts. There are many different voting methods among voting smart contracts and they can give different results despite the same voter’s preferences. As a result, we will study some voting methods and fairness criteria to evaluate the fairness of voting smart contracts | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.subject | Science::Mathematics::Applied mathematics::Game theory | en_US |
dc.subject | Engineering::Computer science and engineering::Software::Software engineering | en_US |
dc.title | Quantitative analysis of smart contracts (fairness) | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Li Yi | en_US |
dc.contributor.school | School of Computer Science and Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Computer Science) | en_US |
dc.contributor.supervisoremail | yi_li@ntu.edu.sg | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
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Jeremiah_FYP_Report.pdf Restricted Access | 781.22 kB | Adobe PDF | View/Open |
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