A fuzzy clustering-based credibility model for trust assessment in a service-oriented architecture

Author First name, Last name, Institution

Zohra Saoud, Université Claude Bernard Lyon 1
Noura Faci, Université Claude Bernard Lyon 1
Zakaria Maamar, Zayed University
Djamal Benslimane, Université Claude Bernard Lyon 1

Document Type

Conference Proceeding

Source of Publication

Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE

Publication Date

1-1-2014

Abstract

© 2014 IEEE. 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.

DOI Link

10.1109/wetice.2014.35

ISBN

9781479942497

ISSN

1524-4547

Publisher

IEEE Computer Society

First Page

56

Last Page

61

Disciplines

Computer Sciences

Keywords

Credibility, Trust, Web Service

Scopus ID

84908440088

Recommended Citation

Saoud, Zohra; Faci, Noura; Maamar, Zakaria; and Benslimane, Djamal, "A fuzzy clustering-based credibility model for trust assessment in a service-oriented architecture" (2014). All Works. 117.
https://zuscholars.zu.ac.ae/works/117

Indexed in Scopus

yes

Open Access

no