Generating unfair ratings to attack online rating systems

• Main Author: Dang, Nguyen Anh Khoa
• Other Authors: School of Computer Engineering
• Format: Final Year Project
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems
• Online Access: http://hdl.handle.net/10356/48528
• Institution: Nanyang Technological University

Many online rating systems have been developed to provide its users a point of reference when deciding which counter party they should choose to transact with. To encounter attacks to maliciously manipulate those systems, many trust model researches have been in strong development. However not a lot of efforts have been put into testing their performance: it is very difficult to compare their performance against different types of attack. This project aims to provide a platform to do that. In this project we developed a marketplace simulation software to allow user to test and compare the robustness of their trust models[1]. The environment we built is similar to Amazon’s Marketplace in which product prices are non-negotiable. The user will be able to configure the market place, plug in ready-made trust models or develop their own using the platform’s facility and receive coherent data about their performance. During the project we strictly follow Test Driven software development methodology with various carefully chosen technologies. The objectives, details of working process as well as the application’s implementation will be discussed in this report.