A Model for Feedback Credibility of Trust Management in Web Services

Meng, Qingcai; He, Liang; Xue, Jing

doi:10.1109/fitme.2008.29

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…The proposed approach does not take into account the filtering of unfair ratings, which could lead to collusion and deception issues. Some academics in the Web service management environment have undertaken research on identifying and filtering unfair ratings [ 65 , 66 ]. However, because there are no differences in their values, distinguishing between fair and unfair ratings is extremely difficult.…”

Section: Comparison With Other Approachesmentioning

confidence: 99%

A Comprehensive and Unified Approach to Web Service Trust Evaluation Based on Uncertainty Methodology

Zhang

2022

Entropy

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Web services have the advantage of being able to generate new value-added services based on existing services. To effectively compose Web services, the composition process necessitates that the services that will participate in a given composite service are more trustworthy than those that provide similar functionality. The trust mechanism appears to be a promising way for determining service selection and composition. Existing trust evaluation approaches do not take into account customer expectations. Based on fuzzy set theory and probability theory, this work proposes a unique Web service trust evaluation approach that is notable for its ability to provide personalized service selection based on customer expectations and preferences. The proposed approach defines trust as a fuzzy notion that is related to prior experiences and ratings, and expresses trust in two different forms. This work mainly solves two key issues in Web service trust architectures, bootstrapping trust for the newcomer services and deriving trust for composite services. The proposed approach combines the solutions to numerous issues in a natural way. The case study and approaches comparison demonstrate that the proposed approach is feasible.

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Section: Comparison With Other Approachesmentioning

confidence: 99%

A Comprehensive and Unified Approach to Web Service Trust Evaluation Based on Uncertainty Methodology

Zhang

2022

Entropy

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“…Unfair ratings may trigger collusion and deception problems. Some scholars have done research works on identifying and rectifying unfair ratings in a Web service management environment [27,28], but in fact it is very difficult to distinguish fair and unfair ratings, since there are no apparent differences between their values. An alternative method to filtering unfair ratings is assessing the credibility of the raters.…”

Section: Related Workmentioning

confidence: 99%

A Customer-Centric Trust Evaluation Model for Personalized Service Selection

Zhang

Fan

2018

Scientific Programming

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Trust is a very important criterion when service customers select desired Web services from a cluster of Web services with the same function. Most existing trust models cannot effectively implement personalized service selection with regard to consumer preferences and expectations. This paper designs a novel trust management method based on peer-to-peer network and presents a customer-centric trust evaluation model for personalized service selection. The trust evaluation model firstly maintains consumerto-consumer trust values that are calculated according to preference similarity between customers, secondly gathers ratings on services submitted by other consumers, then synthesizes customer-to-customer trust and these ratings to generate personalized consumer-to-service trust, and finally selects the desired services according to the expected trust levels presented by customers. This paper conducts some experiments to demonstrate the details of service selection. Experimental results show that this model has good applicability to implement personalized service selection. The proposed model well simulates the reality.

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A Model for Feedback Credibility of Trust Management in Web Services

Cited by 2 publications

References 6 publications

A Comprehensive and Unified Approach to Web Service Trust Evaluation Based on Uncertainty Methodology

A Comprehensive and Unified Approach to Web Service Trust Evaluation Based on Uncertainty Methodology

A Customer-Centric Trust Evaluation Model for Personalized Service Selection

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