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Article
Web services trust assessment based on probabilistic databases
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • 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
Publication Date
1-1-2015
Abstract

© Springer International Publishing Switzerland 2015. This paper discusses the assessment of Web services trust. This assessment is undermined by the uncertainty that raises due to end-users’ ratings that can be questioned and variations in Web services performance at run-time. To tackle the first uncertainty a fuzzy-based credibility model is suggested so that the gap between end-users (known as strict) and the current majority is reduced. To deal with the second uncertainty we propose a probabilistic trust approach. A series of experiments are carried out to validate the probabilistic approach built upon probabilistic databases and a fuzzy-based credibility model. The results show that the probabilistic approach improves significantly trust quality. Future work consists of incorporating several credibility models into one probabilistic trust model.

ISBN
9783319268491
Publisher
Springer Verlag
Disciplines
Keywords
  • Credibility,
  • Fuzzy clustering,
  • Probability,
  • Trust,
  • Web service
Scopus ID
84961128095
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-319-26850-7_27
Citation Information
Zohra Saoud, Noura Faci, Zakaria Maamar and Djamal Benslimane. "Web services trust assessment based on probabilistic databases" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9466 (2015) p. 397 - 410 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/zakaria-maamar/133/