Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/165874
Title: Quantitative analysis of smart contracts (fairness)
Authors: Chan, Shao Jing
Keywords: Engineering::Computer science and engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Chan, S. J. (2023). Quantitative analysis of smart contracts (fairness). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165874
Abstract: 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.
URI: https://hdl.handle.net/10356/165874
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Amended FYP.pdf
  Restricted Access
5.69 MBAdobe PDFView/Open

Page view(s)

153
Updated on May 7, 2025

Download(s)

17
Updated on May 7, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.