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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Main Author: Chan, Shao Jing
Other Authors: Li Yi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165874
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle 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)
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/165874
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