Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/177082
Title: Reputation evaluation in blockchain based e-commerce system
Authors: Sankar Samiksha
Keywords: Computer and Information Science
Issue Date: 2024
Publisher: Nanyang Technological University
Source: Sankar Samiksha (2024). Reputation evaluation in blockchain based e-commerce system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177082
Project: SCSE23-0512 
Abstract: In recent years, e-commerce platforms have risen. An important feature in these platforms is the ratings or reviews given to the products sold by the sellers on these platforms. Many buyers rely on these ratings or reviews to make informed decisions on whether to purchase the product. This underscores the importance of online reviews in e-commerce platforms. However, these rating scores are susceptible to adversarial threats. Since majority of these platforms having centralized systems, a compromise in the centralized system could easily allow attackers to manipulate reviews and ratings. Blockchain offers a platform where the contracts are enforced by code. Once these contracts have been deployed into the blockchain, it is immutable by any party. Hence, preventing any manipulation or tampering of the code or the state of the contract. This is a solution to a centralized system which could be compromised easily. This report focuses on building a decentralized reputation system to compute reputation scores and the product’s review scores. It aims to build a mechanism to prevent spam attacks, manipulation by adversaries, and any collusion attacks. It aims to build a system that incentivizes honest behaviour from the buyers such that they leave credible reviews. Furthermore, this project aims to create a mechanism that will allow maximum flexibility for e-commerce sites. This would allow e-commerce sites to choose how tolerant they want to be against adversarial attacks.
URI: https://hdl.handle.net/10356/177082
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 
Final Report Sankar Samiksha.pdf
  Restricted Access
3.36 MBAdobe PDFView/Open

Page view(s)

146
Updated on Feb 8, 2025

Download(s)

21
Updated on Feb 8, 2025

Google ScholarTM

Check

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