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A Fuzzy Clustering-Based Credibility Model for Trust Assessment in a Service-Oriented Architecture

Zohra Saoud 1 Noura Faci 1 Zakaria Maamar 2 Djamal Benslimane 1
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : This paper presents a credibility model to assess trust of Web services. The model relies on consumers' ratings whose accuracy can be questioned due to different biases. A category of consumers known as strict are usually excluded from the process of reaching a majority consensus. We demonstrated that this exclusion should not be. The proposed model reduces the gap between these consumers' ratings and the current majority rating. Fuzzy clustering is used to compute consumers' credibility. To validate this model a set of experiments are carried out.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01132728
Contributor : Zohra Saoud Connect in order to contact the contributor
Submitted on : Tuesday, March 17, 2015 - 6:06:57 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:07 PM

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Zohra Saoud, Noura Faci, Zakaria Maamar, Djamal Benslimane. A Fuzzy Clustering-Based Credibility Model for Trust Assessment in a Service-Oriented Architecture. 23rd IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises WETICE, Jun 2014, Parme, Italy. pp.56-61, ⟨10.1109/WETICE.2014.35⟩. ⟨hal-01132728⟩

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