The defense mechanism of online reputation systems

Online reputation systems are virtual networks in which individuals share opinions by providing ratings to products, people and so on. However, manipulation of such systems is rapidly growing. One typical and popular attack is collaborative unfair rating in such systems. Our work is to investigate a...

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Main Author: Zhang, Lizi
Other Authors: Ng Wee Keong
Format: Student Research Poster
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/94960
http://hdl.handle.net/10220/8979
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-949602020-09-27T20:27:46Z The defense mechanism of online reputation systems Zhang, Lizi Ng Wee Keong School of Computer Engineering Online reputation systems are virtual networks in which individuals share opinions by providing ratings to products, people and so on. However, manipulation of such systems is rapidly growing. One typical and popular attack is collaborative unfair rating in such systems. Our work is to investigate and propose the defense mechanism that detects collusive unfair raters based on similarity in their rating behaviors. [1st Award]-[Peer Assessment Review] 2013-01-31T02:04:15Z 2019-12-06T19:05:26Z 2013-01-31T02:04:15Z 2019-12-06T19:05:26Z 2011 2011 Student Research Poster Zhang, L. (2011, March). The defense mechanism of online reputation systems. Presented at Discover URECA @ NTU poster exhibition and competition, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/94960 http://hdl.handle.net/10220/8979 en © 2011 The Author(s). application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description Online reputation systems are virtual networks in which individuals share opinions by providing ratings to products, people and so on. However, manipulation of such systems is rapidly growing. One typical and popular attack is collaborative unfair rating in such systems. Our work is to investigate and propose the defense mechanism that detects collusive unfair raters based on similarity in their rating behaviors. [1st Award]-[Peer Assessment Review]
author2 Ng Wee Keong
author_facet Ng Wee Keong
Zhang, Lizi
format Student Research Poster
author Zhang, Lizi
spellingShingle Zhang, Lizi
The defense mechanism of online reputation systems
author_sort Zhang, Lizi
title The defense mechanism of online reputation systems
title_short The defense mechanism of online reputation systems
title_full The defense mechanism of online reputation systems
title_fullStr The defense mechanism of online reputation systems
title_full_unstemmed The defense mechanism of online reputation systems
title_sort defense mechanism of online reputation systems
publishDate 2013
url https://hdl.handle.net/10356/94960
http://hdl.handle.net/10220/8979
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