Research on Trust Propagation Models in Reputation Management Systems
Feedback based reputation systems continue to gain popularity in eCommerce and social media systems today and reputation management in large social networks needs to manage cold start and sparseness in terms of feedback. Trust propagation has been widely recognized as an effective mechanism to handl...
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2014-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/536717 |
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doaj-120acb82066f423b9e120c7a59ac68f22020-11-24T21:42:03ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/536717536717Research on Trust Propagation Models in Reputation Management SystemsZhiyuan Su0Mingchu Li1Xinxin Fan2Xing Jin3Zhen Wang4School of Software, Dalian University of Technology, Liaoning 116024, ChinaSchool of Software, Dalian University of Technology, Liaoning 116024, ChinaSchool of Software, Dalian University of Technology, Liaoning 116024, ChinaSchool of Software, Dalian University of Technology, Liaoning 116024, ChinaSchool of Software, Dalian University of Technology, Liaoning 116024, ChinaFeedback based reputation systems continue to gain popularity in eCommerce and social media systems today and reputation management in large social networks needs to manage cold start and sparseness in terms of feedback. Trust propagation has been widely recognized as an effective mechanism to handle these problems. In this paper we study the characterization of trust propagation models in the context of attack resilience. We characterize trust propagation models along three dimensions: (i) uniform propagation and conditional propagation, (ii) jump strategies for breaking unwanted cliques, and (iii) decay factors for differentiating recent trust history from remote past history. We formally and experimentally show that feedback similarity is a critical measure for countering colluding attacks in reputation systems. Without feedback similarity guided control, trust propagations are vulnerable to different types of colluding attacks.http://dx.doi.org/10.1155/2014/536717 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhiyuan Su Mingchu Li Xinxin Fan Xing Jin Zhen Wang |
spellingShingle |
Zhiyuan Su Mingchu Li Xinxin Fan Xing Jin Zhen Wang Research on Trust Propagation Models in Reputation Management Systems Mathematical Problems in Engineering |
author_facet |
Zhiyuan Su Mingchu Li Xinxin Fan Xing Jin Zhen Wang |
author_sort |
Zhiyuan Su |
title |
Research on Trust Propagation Models in Reputation Management Systems |
title_short |
Research on Trust Propagation Models in Reputation Management Systems |
title_full |
Research on Trust Propagation Models in Reputation Management Systems |
title_fullStr |
Research on Trust Propagation Models in Reputation Management Systems |
title_full_unstemmed |
Research on Trust Propagation Models in Reputation Management Systems |
title_sort |
research on trust propagation models in reputation management systems |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2014-01-01 |
description |
Feedback based reputation systems continue to gain popularity in eCommerce and social media systems today and reputation management in large social networks needs to manage cold start and sparseness in terms of feedback. Trust propagation has been widely recognized as an effective mechanism to handle these problems. In this paper we study the characterization of trust propagation models in the context of attack resilience. We characterize trust propagation models along three dimensions: (i) uniform propagation and conditional propagation, (ii) jump strategies for breaking unwanted cliques, and (iii) decay factors for differentiating recent trust history from remote past history. We formally and experimentally show that feedback similarity is a critical measure for countering colluding attacks in reputation systems. Without feedback similarity guided control, trust propagations are vulnerable to different types of colluding attacks. |
url |
http://dx.doi.org/10.1155/2014/536717 |
work_keys_str_mv |
AT zhiyuansu researchontrustpropagationmodelsinreputationmanagementsystems AT mingchuli researchontrustpropagationmodelsinreputationmanagementsystems AT xinxinfan researchontrustpropagationmodelsinreputationmanagementsystems AT xingjin researchontrustpropagationmodelsinreputationmanagementsystems AT zhenwang researchontrustpropagationmodelsinreputationmanagementsystems |
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1725919169717731328 |