Generating unfair ratings to attack online rating systems

Generating unfair ratings to attack online rating systems

Many online voting systems have been developed to help users of the system to make informed decisions in nowadays. However, these systems may be attacked by different attack models. Meanwhile, the attack behavior is greatly influenced by the defense system used. Therefore, this project aims to inves...

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Bibliographic Details
Main Author: Liang, Liting.
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2011
Subjects:
DRNTU::Engineering::Computer science and engineering::Information systems
DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
Online Access:http://hdl.handle.net/10356/44114
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Institution: Nanyang Technological University
Language: English
Description
Summary:Many online voting systems have been developed to help users of the system to make informed decisions in nowadays. However, these systems may be attacked by different attack models. Meanwhile, the attack behavior is greatly influenced by the defense system used. Therefore, this project aims to investigate the detecting ability of each detection algorithm on each attack algorithm. In this paper, our main focus will be on the detection algorithms. For understanding and analyzing the results, this paper will involve the attack algorithms as well.

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