A Trust and Reputation Model Based on Bayesian Network for Web Services

H. T. Nguyen, Weiliang Zhao, Jian Yang
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引用次数: 119

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 QoS-based trust by specifying different conditions for the Bayesian network and targets at building a reasonable credibility model for the raters of web services.
基于贝叶斯网络的Web服务信任与声誉模型
web服务的信任与声誉是web服务选择中的一个重要研究问题。当前的web服务信任模型要么没有整合不同的重要信任来源(如主观和客观),要么没有注重满足不同用户对不同服务质量(QoS)属性(如性能、可用性等)的需求。在本文中,我们提出了一个用于web服务的贝叶斯网络信任和声誉模型,该模型在评估web服务的信任时考虑了几个因素:信任者的直接意见、用户评级(主观观点)和QoS监控信息(客观观点),从而克服了这些限制。我们的综合方法还通过为贝叶斯网络指定不同的条件来解决用户偏好和基于qos的多重信任问题,并旨在为web服务的评分者建立合理的可信度模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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