Quantitative analysis of smart contracts (fairness)
Smart contracts are self-executing digital contracts that enables trust, transparency, and automation on various blockchains to facilitate transactions. However, ensuring fairness in smart contracts have always been a critical challenge (Singh, 2019) due to users’ technical inability to analyse t...
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2023
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sg-ntu-dr.10356-1658742023-04-14T15:37:35Z Quantitative analysis of smart contracts (fairness) Chan, Shao Jing Li Yi School of Computer Science and Engineering yi_li@ntu.edu.sg Engineering::Computer science and engineering Smart contracts are self-executing digital contracts that enables trust, transparency, and automation on various blockchains to facilitate transactions. However, ensuring fairness in smart contracts have always been a critical challenge (Singh, 2019) due to users’ technical inability to analyse the contract code being executed. This project will illustrate and categorise existing malicious attacks on smart contracts into standards for evaluating fairness. These standards will then be used to analyse smart contract transactions in popular gaming decentralised applications. Our findings indicated that even smart contracts in the highest grossing applications are not perfect and contains flaws that could undermine their reliability. Bachelor of Business Bachelor of Engineering (Computer Science) 2023-04-14T01:32:15Z 2023-04-14T01:32:15Z 2023 Final Year Project (FYP) Chan, S. J. (2023). Quantitative analysis of smart contracts (fairness). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165874 https://hdl.handle.net/10356/165874 en application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Chan, Shao Jing Quantitative analysis of smart contracts (fairness) |
description |
Smart contracts are self-executing digital contracts that enables trust, transparency, and
automation on various blockchains to facilitate transactions. However, ensuring fairness
in smart contracts have always been a critical challenge (Singh, 2019) due to users’
technical inability to analyse the contract code being executed. This project will illustrate
and categorise existing malicious attacks on smart contracts into standards for evaluating
fairness. These standards will then be used to analyse smart contract transactions in
popular gaming decentralised applications. Our findings indicated that even smart
contracts in the highest grossing applications are not perfect and contains flaws that
could undermine their reliability. |
author2 |
Li Yi |
author_facet |
Li Yi Chan, Shao Jing |
format |
Final Year Project |
author |
Chan, Shao Jing |
author_sort |
Chan, Shao Jing |
title |
Quantitative analysis of smart contracts (fairness) |
title_short |
Quantitative analysis of smart contracts (fairness) |
title_full |
Quantitative analysis of smart contracts (fairness) |
title_fullStr |
Quantitative analysis of smart contracts (fairness) |
title_full_unstemmed |
Quantitative analysis of smart contracts (fairness) |
title_sort |
quantitative analysis of smart contracts (fairness) |
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Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/165874 |
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1764208112601923584 |