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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格式: | Final Year Project (FYP) |
语言: | English |
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2011
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在线阅读: | http://hdl.handle.net/10356/44114 |
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author | Liang, Liting. |
author2 | School of Computer Engineering |
author_facet | School of Computer Engineering Liang, Liting. |
author_sort | Liang, Liting. |
collection | NTU |
description | 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. |
first_indexed | 2024-10-01T05:50:05Z |
format | Final Year Project (FYP) |
id | ntu-10356/44114 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:50:05Z |
publishDate | 2011 |
record_format | dspace |
spelling | ntu-10356/441142023-03-03T20:28:53Z Generating unfair ratings to attack online rating systems Liang, Liting. School of Computer Engineering Zhang Jie DRNTU::Engineering::Computer science and engineering::Information systems DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity 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. Bachelor of Engineering (Computer Engineering) 2011-05-26T03:58:41Z 2011-05-26T03:58:41Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44114 en Nanyang Technological University 80 p. application/pdf |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity Liang, Liting. Generating unfair ratings to attack online rating systems |
title | Generating unfair ratings to attack online rating systems |
title_full | Generating unfair ratings to attack online rating systems |
title_fullStr | Generating unfair ratings to attack online rating systems |
title_full_unstemmed | Generating unfair ratings to attack online rating systems |
title_short | Generating unfair ratings to attack online rating systems |
title_sort | generating unfair ratings to attack online rating systems |
topic | DRNTU::Engineering::Computer science and engineering::Information systems DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity |
url | http://hdl.handle.net/10356/44114 |
work_keys_str_mv | AT liangliting generatingunfairratingstoattackonlineratingsystems |