Evaluating unfair ratings attacks in online rating systems

Today, the Internet has introduced and created many new features and applications that are very accessible, useful and helpful to internet users. While accessibility to the internet and its applications is largely justified across the globe in recent years with the discovery of wireless technology a...

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Bibliographic Details
Main Author: Poh, Geok Khoon.
Other Authors: School of Computer Engineering
Format: Final Year Project (FYP)
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/52300
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author Poh, Geok Khoon.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Poh, Geok Khoon.
author_sort Poh, Geok Khoon.
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description Today, the Internet has introduced and created many new features and applications that are very accessible, useful and helpful to internet users. While accessibility to the internet and its applications is largely justified across the globe in recent years with the discovery of wireless technology and improvement in broadband connection speed, there remains an intriguing question as to exactly how useful and helpful the internet is to its users; How true and accurate are the reviews on review websites if the reviewers are mostly anonymous users; Can we trust every rating made on a particular buyer or seller on E-Commerce Systems without knowing who they are in person. The report will first touch on a marketplace simulation program integrated and enhanced with a simple user interface (GUI), and it consists of the working algorithms of 6 trust models, 6 attack models and 3 performance metrics. Further explanation and detailed elaboration of the program will be covered in this section. The report then looks into the effectiveness and accuracy of 2 trust models, namely the TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) and WMA (Weighted Majority Algorithm) against a wide range of known attack models over 3 key performance metrics.
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spelling ntu-10356/523002023-03-03T20:57:15Z Evaluating unfair ratings attacks in online rating systems Poh, Geok Khoon. School of Computer Engineering Zhang Jie DRNTU::Engineering::Computer science and engineering Today, the Internet has introduced and created many new features and applications that are very accessible, useful and helpful to internet users. While accessibility to the internet and its applications is largely justified across the globe in recent years with the discovery of wireless technology and improvement in broadband connection speed, there remains an intriguing question as to exactly how useful and helpful the internet is to its users; How true and accurate are the reviews on review websites if the reviewers are mostly anonymous users; Can we trust every rating made on a particular buyer or seller on E-Commerce Systems without knowing who they are in person. The report will first touch on a marketplace simulation program integrated and enhanced with a simple user interface (GUI), and it consists of the working algorithms of 6 trust models, 6 attack models and 3 performance metrics. Further explanation and detailed elaboration of the program will be covered in this section. The report then looks into the effectiveness and accuracy of 2 trust models, namely the TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) and WMA (Weighted Majority Algorithm) against a wide range of known attack models over 3 key performance metrics. Bachelor of Engineering (Computer Science) 2013-05-06T01:18:36Z 2013-05-06T01:18:36Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52300 en Nanyang Technological University 53 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering
Poh, Geok Khoon.
Evaluating unfair ratings attacks in online rating systems
title Evaluating unfair ratings attacks in online rating systems
title_full Evaluating unfair ratings attacks in online rating systems
title_fullStr Evaluating unfair ratings attacks in online rating systems
title_full_unstemmed Evaluating unfair ratings attacks in online rating systems
title_short Evaluating unfair ratings attacks in online rating systems
title_sort evaluating unfair ratings attacks in online rating systems
topic DRNTU::Engineering::Computer science and engineering
url http://hdl.handle.net/10356/52300
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