A trust and reputation model based on Bayesian network for web services

Hien Trang Nguyen, Weiliang Zhao, Jian Yang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

88 Citations (Scopus)
25 Downloads (Pure)

Abstract

Trust and reputation for web services emerges as an important research issue in web service selection. Current web service trust models either do not integrate different important sources of trust (subjective and objective for example), or do not focus on satisfying different user's requirements about different quality of service (QoS) attributes such as performance, availability etc. In this paper, we propose a Bayesian network trust and reputation model for web services that can overcome such limitations by considering several factors when assessing web services' trust: direct opinion from the truster, user rating (subjective view) and QoS monitoring information (objective view). Our comprehensive approach also addresses the problems of users' preferences and multiple QoSbased trust by specifying different conditions for the Bayesian network and targets at building a reasonable credibility model for the raters of web services.

Original languageEnglish
Title of host publicationICWS 2010 - 2010 IEEE 8th International Conference on Web Services
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages251-258
Number of pages8
ISBN (Print)9780769541280
DOIs
Publication statusPublished - 2010
Event2010 IEEE 8th International Conference on Web Services, ICWS 2010 - Miami, FL, United States
Duration: 5 Jul 201010 Jul 2010

Other

Other2010 IEEE 8th International Conference on Web Services, ICWS 2010
CountryUnited States
CityMiami, FL
Period5/07/1010/07/10

Bibliographical note

Copyright 2010 IEEE. Reprinted from 2010 IEEE International Conference on Web Services : (ICWS 2010) : proceedings : Miami, Florida, USA, July 5-10, 2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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